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ORCIDAnimesh Mukherjee 0001
Person information
- affiliation: Indian Institute of Technology, Kharagpur, West Bengal, India
Other persons with the same name
- Animesh Mukherjee 0002 — Advanced Technology Institute Calcutta, India
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2020 – today
- 2025
[c147]Somnath Banerjee, Sayan Layek, Soham Tripathy, Shanu Kumar, Animesh Mukherjee, Rima Hazra:
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. AAAI 2025: 27188-27196- [c146]Sayantan Adak, Animesh Mukherjee:
RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long Documents. COLING 2025: 5443-5462 - [c145]Daryna Dementieva, Nikolay Babakov, Amit Ronen, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Daniil Alekhseevich Moskovskiy, Elisei Stakovskii, Eran Kaufman, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko:
Multilingual and Explainable Text Detoxification with Parallel Corpora. COLING 2025: 7998-8025 - [c144]Somnath Banerjee, Sayan Layek, Rima Hazra, Animesh Mukherjee:
How (Un)ethical Are Instruction-Centric Responses of LLMs? Unveiling the Vulnerabilities of Safety Guardrails to Harmful Queries. ICWSM 2025: 193-205 - [c143]Siddharth D. Jaiswal, Sagnik Basu, Sandipan Sikdar, Animesh Mukherjee:
Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions. ICWSM 2025: 899-917 - [c142]Naquee Rizwan, Paramananda Bhaskar, Mithun Das, Swadhin Satyaprakash Majhi, Punyajoy Saha, Animesh Mukherjee:
Exploring the Limits of Zero Shot Vision Language Models for Hate Meme Detection: The Vulnerabilities and their Interpretations. ICWSM 2025: 1669-1689 - [c141]Somnath Banerjee, Avik Halder, Rajarshi Mandal, Sayan Layek, Ian Soboroff, Rima Hazra, Animesh Mukherjee:
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance. NAACL (Volume 3: Industry Track) 2025: 194-209 - [c140]Arijit Nag, Soumen Chakrabarti, Animesh Mukherjee, Niloy Ganguly:
Efficient Continual Pre-training of LLMs for Low-resource Languages. NAACL (Volume 3: Industry Track) 2025: 304-317 - [c139]Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee:
Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models. NAACL (Long Papers) 2025: 7580-7617 - [c138]Paramita Das
, Sai Keerthana Karnam, Aditya Bharat Soni, Animesh Mukherjee:
Social Biases in Knowledge Representations of Wikidata separates Global North from Global South. WebSci 2025: 12-21 - [i154]Naquee Rizwan, Nayandeep Deb, Sarthak Roy, Vishwajeet Singh Solanki, Kiran Garimella, Animesh Mukherjee:
Dynamics of Toxicity in Political Podcasts. CoRR abs/2501.12640 (2025) - [i153]Sai Keerthana Karnam, Abhisek Dash, Sepehr Mousavi, Stefan Bechtold, Krishna P. Gummadi, Animesh Mukherjee, Ingmar Weber, Savvas Zannettou:
Setting the Course, but Forgetting to Steer: Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and YouTube. CoRR abs/2502.11208 (2025) - [i152]Somnath Banerjee, Sayan Layek, Pratyush Chatterjee, Animesh Mukherjee, Rima Hazra:
Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment. CoRR abs/2502.11244 (2025) - [i151]Sayantan Adak, Somnath Banerjee, Rajarshi Mandal, Avik Halder, Sayan Layek, Rima Hazra, Animesh Mukherjee:
MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation. CoRR abs/2502.11246 (2025) - [i150]Sayantan Adak, Animesh Mukherjee:
RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long Documents. CoRR abs/2502.12124 (2025) - [i149]Sayantan Adak, Pauras Mangesh Meher, Paramita Das, Animesh Mukherjee:
REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives. CoRR abs/2502.12137 (2025) - [i148]Siddharth D. Jaiswal, Sagnik Basu, Sandipan Sikdar, Animesh Mukherjee:
Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions. CoRR abs/2503.14138 (2025) - [i147]Paramita Das, Sai Keerthana Karnam, Aditya Bharat Soni, Animesh Mukherjee:
Social Biases in Knowledge Representations of Wikidata separates Global North from Global South. CoRR abs/2505.02352 (2025) - [i146]Anand Kumar Rai, Satyam Rahangdale, Utkarsh Anand, Animesh Mukherjee:
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems. CoRR abs/2505.11572 (2025) - [i145]Somnath Banerjee, Pratyush Chatterjee, Shanu Kumar, Sayan Layek, Parag Agrawal, Rima Hazra, Animesh Mukherjee:
Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations. CoRR abs/2505.14469 (2025) - 2024
- [j37]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-31 (2024) - [j36]Anjan Chowdhury, Sriram Srinivasan, Animesh Mukherjee, Sanjukta Bhowmick, Kuntal Ghosh:
Improving Node Classification Accuracy of GNN through Input and Output Intervention. ACM Trans. Knowl. Discov. Data 18(1): 17:1-17:31 (2024) - [c137]Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi:
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. AIES (1) 2024: 316-327 - [c136]Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee:
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. AIES (1) 2024: 634-646 - [c135]Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Daniil Moskovskiy, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Naquee Rizwan, Paolo Rosso, Florian Schneider, Alisa Smirnova, Efstathios Stamatatos, Elisei Stakovskii, Benno Stein, Mariona Taulé, Dmitry Ustalov, Xintong Wang, Matti Wiegmann, Seid Muhie Yimam, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. CLEF (2) 2024: 231-259 - [c134]Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko:
Overview of the Multilingual Text Detoxification Task at PAN 2024. CLEF (Working Notes) 2024: 2432-2461 - [c133]Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee:
Evaluating ChatGPT against Functionality Tests for Hate Speech Detection. LREC/COLING 2024: 6370-6380 - [c132]Somnath Banerjee, Maulindu Sarkar, Punyajoy Saha, Binny Mathew, Animesh Mukherjee:
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks. LREC/COLING 2024: 9061-9072 - [c131]Punyajoy Saha, Aalok Agrawal, Abhik Jana, Chris Biemann, Animesh Mukherjee:
On Zero-Shot Counterspeech Generation by LLMs. LREC/COLING 2024: 12443-12454 - [c130]Mithun Das, Saurabh Kumar Pandey, Shivansh Sethi, Punyajoy Saha, Animesh Mukherjee:
Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi. EACL (Findings) 2024: 1601-1614 - [c129]Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashraf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencic, Maximilian Mayerl, Animesh Mukherjee, Alexander Panchenko, Martin Potthast, Francisco Rangel, Paolo Rosso, Alisa Smirnova, Efstathios Stamatatos, Benno Stein, Mariona Taulé, Dmitry Ustalov, Matti Wiegmann, Eva Zangerle:
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract. ECIR (6) 2024: 3-10 - [c128]Somnath Banerjee, Amruit Sahoo, Sayan Layek, Avik Dutta, Rima Hazra, Animesh Mukherjee:
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context. EMNLP (Industry Track) 2024: 290-302 - [c127]Arijit Nag, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs. EMNLP (Findings) 2024: 15681-15701 - [c126]Anand Kumar Rai, Siddharth D. Jaiswal, Shubham Prakash, Bendi Pragnya Sree, Animesh Mukherjee:
DENOASR: Debiasing ASRs through Selective Denoising. ICKG 2024: 283-290 - [c125]Anand Kumar Rai, Siddharth D. Jaiswal, Animesh Mukherjee:
A Deep Dive into the Disparity of Word Error Rates across Thousands of NPTEL MOOC Videos. ICWSM 2024: 1302-1314 - [c124]Somnath Banerjee, Avik Dutta, Aaditya Agrawal, Rima Hazra, Animesh Mukherjee:
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem. ECML/PKDD (10) 2024: 313-331 - [i144]Somnath Banerjee, Amruit Sahoo, Sayan Layek, Avik Dutta, Rima Hazra, Animesh Mukherjee:
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context. CoRR abs/2401.12671 (2024) - [i143]Mithun Das, Saurabh Kumar Pandey, Shivansh Sethi, Punyajoy Saha, Animesh Mukherjee:
Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi. CoRR abs/2402.07262 (2024) - [i142]Naquee Rizwan, Paramananda Bhaskar, Mithun Das, Swadhin Satyaprakash Majhi, Punyajoy Saha, Animesh Mukherjee:
Zero shot VLMs for hate meme detection: Are we there yet? CoRR abs/2402.12198 (2024) - [i141]Sayantan Adak, Daivik Agrawal, Animesh Mukherjee, Somak Aditya:
GRAFFORD: A Benchmark Dataset for Testing the Knowledge of Object Affordances of Language and Vision Models. CoRR abs/2402.12881 (2024) - [i140]Siddharth D. Jaiswal, Ankit Kumar Verma, Animesh Mukherjee:
Mask-up: Investigating Biases in Face Re-identification for Masked Faces. CoRR abs/2402.13771 (2024) - [i139]Somnath Banerjee, Maulindu Sarkar, Punyajoy Saha, Binny Mathew, Animesh Mukherjee:
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks. CoRR abs/2402.14702 (2024) - [i138]Somnath Banerjee, Sayan Layek, Rima Hazra, Animesh Mukherjee:
How (un)ethical are instruction-centric responses of LLMs? Unveiling the vulnerabilities of safety guardrails to harmful queries. CoRR abs/2402.15302 (2024) - [i137]Somnath Banerjee, Avik Dutta, Aaditya Agrawal, Rima Hazra, Animesh Mukherjee:
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem. CoRR abs/2402.16159 (2024) - [i136]Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey, Aaditya Agrawal, Pramit Kumar Chandra, Animesh Mukherjee:
Understanding how social discussion platforms like Reddit are influencing financial behavior. CoRR abs/2403.04298 (2024) - [i135]Arijit Nag, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs. CoRR abs/2403.05434 (2024) - [i134]Punyajoy Saha, Aalok Agrawal, Abhik Jana, Chris Biemann, Animesh Mukherjee:
On Zero-Shot Counterspeech Generation by LLMs. CoRR abs/2403.14938 (2024) - [i133]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi:
Antitrust, Amazon, and Algorithmic Auditing. CoRR abs/2403.18623 (2024) - [i132]Somnath Banerjee, Avik Halder, Rajarshi Mandal, Sayan Layek, Ian Soboroff, Rima Hazra, Animesh Mukherjee:
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance. CoRR abs/2406.11139 (2024) - [i131]Somnath Banerjee, Soham Tripathy, Sayan Layek, Shanu Kumar, Animesh Mukherjee, Rima Hazra:
SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models. CoRR abs/2406.12274 (2024) - [i130]Seid Muhie Yimam, Daryna Dementieva, Tim Fischer, Daniil Moskovskiy, Naquee Rizwan, Punyajoy Saha, Sarthak Roy, Martin Semmann, Alexander Panchenko, Chris Biemann, Animesh Mukherjee:
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management. CoRR abs/2406.19543 (2024) - [i129]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR abs/2407.01732 (2024) - [i128]Fariba Afrin Irany, Soumya Sarakar, Animesh Mukherjee, Sanjukta Bhowmick:
Sampling-Based Attack for Centrality Disruption in Complex Networks. CoRR abs/2407.06558 (2024) - [i127]Siddharth D. Jaiswal, Abhisek Dash, Nitika Shroff, Yashwanth Babu Vunnam, Saptarshi Ghosh, Animesh Mukherjee:
Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages. CoRR abs/2407.14650 (2024) - [i126]Siddharth D. Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee:
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. CoRR abs/2407.15810 (2024) - [i125]Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi:
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR abs/2407.19099 (2024) - [i124]Punyajoy Saha, Abhilash Datta, Abhik Jana, Animesh Mukherjee:
CrowdCounter: A benchmark type-specific multi-target counterspeech dataset. CoRR abs/2410.01400 (2024) - [i123]Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee:
Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models. CoRR abs/2410.12880 (2024) - [i122]Anand Kumar Rai, Siddharth D. Jaiswal, Shubham Prakash, Bendi Pragnya Sree, Animesh Mukherjee:
DENOASR: Debiasing ASRs through Selective Denoising. CoRR abs/2410.16712 (2024) - [i121]Paramita Das, Amartya Roy, Ritabrata Chakraborty, Animesh Mukherjee:
On the effective transfer of knowledge from English to Hindi Wikipedia. CoRR abs/2412.05708 (2024) - [i120]Arijit Nag, Soumen Chakrabarti, Animesh Mukherjee, Niloy Ganguly:
Efficient Continual Pre-training of LLMs for Low-resource Languages. CoRR abs/2412.10244 (2024) - [i119]Daryna Dementieva, Nikolay Babakov, Amit Ronen, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Daniil Moskovskiy, Elisei Stakovskii, Eran Kaufman, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko:
Multilingual and Explainable Text Detoxification with Parallel Corpora. CoRR abs/2412.11691 (2024) - 2023
- [j35]Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
Transfer Learning for Low-Resource Multilingual Relation Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 50:1-50:24 (2023) - [j34]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10(3): 1301-1313 (2023) - [c123]Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks. ACL (Findings) 2023: 8619-8629 - [c122]Siddharth D. Jaiswal, Ankit Kumar Verma, Animesh Mukherjee:
Auditing Gender Analyzers on Text Data. ASONAM 2023: 108-115 - [c121]Rima Hazra, Debanjan Saha, Amruit Sahoo, Somnath Banerjee, Animesh Mukherjee:
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities. ASONAM 2023: 203-212 - [c120]Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee:
Rationale-Guided Few-Shot Classification to Detect Abusive Language. ECAI 2023: 2041-2048 - [c119]Sarthak Roy, Ashish Harshavardhan, Animesh Mukherjee, Punyajoy Saha:
Probing LLMs for hate speech detection: strengths and vulnerabilities. EMNLP (Findings) 2023: 6116-6128 - [c118]Mithun Das, Animesh Mukherjee:
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification. EMNLP 2023: 15498-15512 - [c117]Utkarsh Patel, Animesh Mukherjee, Mainack Mondal:
"Dummy Grandpa, Do You Know Anything?": Identifying and Characterizing Ad Hominem Fallacy Usage in the Wild. ICWSM 2023: 698-709 - [c116]Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee:
HateMM: A Multi-Modal Dataset for Hate Video Classification. ICWSM 2023: 1014-1023 - [c115]Paramita Das, Sai Keerthana Karnam, Anirban Panda, Bhanu Prakash Reddy Guda, Soumya Sarkar, Animesh Mukherjee:
Diversity matters: Robustness of bias measurements in Wikidata. WebSci 2023: 208-218 - [c114]Mithun Das, Animesh Mukherjee:
Transfer Learning for Multilingual Abusive Meme Detection. WebSci 2023: 245-250 - [c113]Punyajoy Saha, Mithun Das, Binny Mathew, Animesh Mukherjee:
Hate Speech: Detection, Mitigation and Beyond. WSDM 2023: 1232-1235 - [c112]Siddharth D. Jaiswal, Animesh Mukherjee:
A History of Diversity in The Web (Conference). WWW (Companion Volume) 2023: 625-632 - [c111]Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee:
HateProof: Are Hateful Meme Detection Systems really Robust? WWW 2023: 3734-3743 - [d1]Mithun Das, Animesh Mukherjee:
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification. Zenodo, 2023
- [i118]Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee:
HateProof: Are Hateful Meme Detection Systems really Robust? CoRR abs/2302.05703 (2023) - [i117]Paramita Das, Sai Keerthana Karnam, Anirban Panda, Bhanu Prakash Reddy Guda, Soumya Sarkar, Animesh Mukherjee:
Diversity matters: Robustness of bias measurements in Wikidata. CoRR abs/2302.14027 (2023) - [i116]Punyajoy Saha, Kiran Garimella, Narla Komal Kalyan, Saurabh Kumar Pandey, Pauras Mangesh Meher, Binny Mathew, Animesh Mukherjee:
On the rise of fear speech in online social media. CoRR abs/2303.10311 (2023) - [i115]Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta, Animesh Mukherjee:
HateMM: A Multi-Modal Dataset for Hate Video Classification. CoRR abs/2305.03915 (2023) - [i114]Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee:
Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection. CoRR abs/2305.13276 (2023) - [i113]Anand Kumar Rai, Siddharth D. Jaiswal, Animesh Mukherjee:
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos. CoRR abs/2307.10587 (2023) - [i112]Rima Hazra, Debanjan Saha, Amruit Sahoo, Somnath Banerjee, Animesh Mukherjee:
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities. CoRR abs/2309.05035 (2023) - [i111]Abhilash Datta, Souvic Chakraborty, Animesh Mukherjee:
Personality Detection and Analysis using Twitter Data. CoRR abs/2309.05497 (2023) - [i110]Rima Hazra, Agnik Saha, Somnath Banerjee, Animesh Mukherjee:
Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms. CoRR abs/2309.05961 (2023) - [i109]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science. CoRR abs/2309.10811 (2023) - [i108]Siddharth D. Jaiswal, Ankit Kumar Verma, Animesh Mukherjee:
Auditing Gender Analyzers on Text Data. CoRR abs/2310.06061 (2023) - [i107]Mithun Das, Animesh Mukherjee:
BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification. CoRR abs/2310.11748 (2023) - [i106]Sarthak Roy, Ashish Harshavardhan, Animesh Mukherjee, Punyajoy Saha:
Probing LLMs for hate speech detection: strengths and vulnerabilities. CoRR abs/2310.12860 (2023) - 2022
- [j33]Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee:
Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 112:1-112:36 (2022) - [j32]Mithun Das, Abhisek Dash, Siddharth D. Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukherjee:
Platform Governance: Past, Present and Future. GetMobile Mob. Comput. Commun. 26(1): 14-20 (2022) - [j31]Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee:
A core-periphery structure-based network embedding approach. Soc. Netw. Anal. Min. 12(1): 32 (2022) - [j30]Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh:
Constant community identification in million-scale networks. Soc. Netw. Anal. Min. 12(1): 70 (2022) - [j29]Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
Mining the online infosphere: A survey. WIREs Data Mining Knowl. Discov. 12(5) (2022) - [c110]Siddharth D. Jaiswal, Animesh Mukherjee:
Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items. CHI Extended Abstracts 2022: 44:1-44:8 - [c109]Mithun Das, Somnath Banerjee, Animesh Mukherjee:
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages. HT 2022: 32-42 - [c108]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Fast Few Shot Self-attentive Semi-supervised Political Inclination Prediction. ICADL 2022: 3-20 - [c107]Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee:
Two-Face: Adversarial Audit of Commercial Face Recognition Systems. ICWSM 2022: 381-392 - [c106]Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee:
CounterGeDi: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech. IJCAI 2022: 5157-5163 - [c105]Mithun Das, Somnath Banerjee, Punyajoy Saha, Animesh Mukherjee:
Hate Speech and Offensive Language Detection in Bengali. AACL/IJCNLP (1) 2022: 286-296 - [c104]Mithun Das, Punyajoy Saha, Binny Mathew, Animesh Mukherjee:
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models. LREC 2022: 5378-5387 - [c103]Souvic Chakraborty, Parag Dutta, Sumegh Roychowdhury, Animesh Mukherjee:
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection. NAACL-HLT (Findings) 2022: 1874-1886 - [c102]Vikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew, Hastagiri Prakash Vanchinathan, Animesh Mukherjee:
Multilingual Abusive Comment Detection at Scale for Indic Languages. NeurIPS 2022 - [c101]Rima Hazra, Arpit Dwivedi, Animesh Mukherjee:
Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction. ECML/PKDD (6) 2022: 236-252 - [c100]Sayantan Adak, Altaf Ahmad, Aditya Basu, Animesh Mukherjee:
Placing (Historical) Facts on a Timeline: A Classification Cum Coref Resolution Approach. ECML/PKDD (6) 2022: 335-352 - [c99]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India. SocInfo 2022: 347-369 - [c98]Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty, Animesh Mukherjee:
Decoding Demographic un-fairness from Indian Names. SocInfo 2022: 472-489 - [c97]Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey, Aaditya Agrawal, Pramit Kumar Chandra, Animesh Mukherjee:
Understanding how social discussion platforms like Reddit are influencing financial behavior. WI/IAT 2022: 612-619 - [c96]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW 2022: 3695-3705 - [i105]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR abs/2202.03934 (2022) - [i104]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR abs/2204.00241 (2022) - [i103]Parag Dutta, Souvic Chakraborty, Sumegh Roychowdhury, Animesh Mukherjee:
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection. CoRR abs/2204.06389 (2022) - [i102]Mithun Das, Somnath Banerjee, Animesh Mukherjee:
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages. CoRR abs/2204.12543 (2022) - [i101]Mithun Das, Somnath Banerjee, Animesh Mukherjee:
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification. CoRR abs/2204.12587 (2022) - [i100]Mithun Das, Punyajoy Saha, Binny Mathew, Animesh Mukherjee:
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models. CoRR abs/2205.00328 (2022) - [i99]Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee:
CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech. CoRR abs/2205.04304 (2022) - [i98]Sayantan Adak, Altaf Ahmad, Aditya Basu, Animesh Mukherjee:
Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach. CoRR abs/2206.14089 (2022) - [i97]Rima Hazra, Arpit Dwivedi, Animesh Mukherjee:
Is this bug severe? A text-cum-graph based model for bug severity prediction. CoRR abs/2207.00623 (2022) - [i96]Utkarsh Patel, Animesh Mukherjee, Mainack Mondal:
"Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wild. CoRR abs/2209.02062 (2022) - [i95]Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty, Animesh Mukherjee:
Decoding Demographic un-fairness from Indian Names. CoRR abs/2209.03089 (2022) - [i94]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction. CoRR abs/2209.10292 (2022) - [i93]Mithun Das, Somnath Banerjee, Punyajoy Saha, Animesh Mukherjee:
Hate Speech and Offensive Language Detection in Bengali. CoRR abs/2210.03479 (2022) - [i92]Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee:
RAFT: Rationale adaptor for few-shot abusive language detection. CoRR abs/2211.17046 (2022) - 2021
- [c95]Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. AAAI 2021: 14867-14875 - [c94]Anjan Chowdhury, Sriram Srinivasan, Sanjukta Bhowmick, Animesh Mukherjee, Kuntal Ghosh:
Constant community identification in million scale networks using image thresholding algorithms. ASONAM 2021: 116-120 - [c93]Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification. CoNLL 2021: 575-587 - [c92]Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Joint Autoregressive and Graph Models for Software and Developer Social Networks. ECIR (1) 2021: 224-237 - [c91]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT 2021: 873-884 - [c90]Srijan Bansal, Vishal Garimella, Ayush Suhane, Animesh Mukherjee:
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages. HT 2021: 27-34 - [c89]Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew:
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. HT 2021: 79-89 - [c88]Paramita Das, Bhanu Prakash Reddy Guda, Debajit Chakraborty, Soumya Sarkar, Animesh Mukherjee:
When Expertise Gone Missing: Uncovering the Loss of Prolific Contributors in Wikipedia. ICADL 2021: 291-307 - [c87]Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee:
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. WWW 2021: 1110-1121 - [i91]Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee:
Mining the online infosphere: A survey. CoRR abs/2101.00454 (2021) - [i90]Rima Hazra, Hardik Aggarwal, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Joint Autoregressive and Graph Models for Software and Developer Social Networks. CoRR abs/2101.08729 (2021) - [i89]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. CoRR abs/2102.00141 (2021) - [i88]Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee:
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. CoRR abs/2102.03870 (2021) - [i87]Debjoy Saha, Naman Paharia, Debajit Chakraborty, Punyajoy Saha, Animesh Mukherjee:
Hate-Alert@DravidianLangTech-EACL2021: Ensembling strategies for Transformer-based Offensive language Detection. CoRR abs/2102.10084 (2021) - [i86]Srijan Bansal, Vishal Garimella, Ayush Suhane, Animesh Mukherjee:
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages. CoRR abs/2107.10181 (2021) - [i85]Mithun Das, Punyajoy Saha, Ritam Dutt, Pawan Goyal, Animesh Mukherjee, Binny Mathew:
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights. CoRR abs/2108.00524 (2021) - [i84]Paramita Das, Bhanu Prakash Reddy Guda, Debajit Chakraborty, Soumya Sarkar, Animesh Mukherjee:
When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia. CoRR abs/2109.09979 (2021) - [i83]Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification. CoRR abs/2110.09570 (2021) - [i82]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India. CoRR abs/2110.14183 (2021) - [i81]Paramita Das, Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee:
Quality change: norm or exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. CoRR abs/2111.01496 (2021) - [i80]Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee:
Two-Face: Adversarial Audit of Commercial Face Recognition Systems. CoRR abs/2111.09137 (2021) - [i79]Siddharth D. Jaiswal, Animesh Mukherjee:
Marching with the Pink Parade: Evaluating Visual Search Recommendations for Non-binary Clothing Items. CoRR abs/2112.02384 (2021) - 2020
- [j28]Abhik Jana, Animesh Mukherjee, Pawan Goyal:
Network measures: A new paradigm towards reliable novel word sense detection. Inf. Process. Manag. 57(6): 102173 (2020) - [j27]Sandipan Sikdar, Paras Tehria, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
On the effectiveness of the scientific peer-review system: a case study of the Journal of High Energy Physics. Int. J. Digit. Libr. 21(2): 93-107 (2020) - [j26]Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Analysis of reference and citation copying in evolving bibliographic networks. J. Informetrics 14(1): 101003 (2020) - [j25]Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee:
Hate begets Hate: A Temporal Study of Hate Speech. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 92:1-92:24 (2020) - [j24]Mithun Das, Binny Mathew, Punyajoy Saha, Pawan Goyal, Animesh Mukherjee:
Hate speech in online social media. SIGWEB Newsl. 2020(Autumn): 4:1-4:8 (2020) - [c86]Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee:
Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection. ACL 2020: 1018-1023 - [c85]Binny Mathew, Navish Kumar, Pawan Goyal, Animesh Mukherjee:
Interaction dynamics between hate and counter users on Twitter. COMAD/CODS 2020: 116-124 - [c84]Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs. COMAD/CODS 2020: 125-133 - [c83]Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. COMAD/CODS 2020: 268-274 - [c82]Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee:
NwQM: A neural quality assessment framework for Wikipedia. EMNLP (1) 2020: 8396-8406 - [c81]Rima Hazra, Aryan, Hardik Aggarwal, Matteo Marsili, Animesh Mukherjee:
Characterising Authors on the Extent of their Paper Acceptance: A Case Study of the Journal of High Energy Physics. JCDL 2020: 7-16 - [c80]Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Identification, Tracking and Impact: Understanding the Trade Secret of Catchphrases. JCDL 2020: 67-76 - [c79]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Aspect-based Sentiment Analysis of Scientific Reviews. JCDL 2020: 207-216 - [c78]Sayantan Adak, Atharva Vyas, Animesh Mukherjee, Heer Ambavi, Pritam Kadasi, Mayank Singh, Shivam Patel:
Gandhipedia: A One-stop AI-enabled Portal for Browsing Gandhian Literature, Life-events and His Social Network. JCDL 2020: 539-540 - [c77]Sai Saketh Aluru, Binny Mathew, Punyajoy Saha, Animesh Mukherjee:
A Deep Dive into Multilingual Hate Speech Classification. ECML/PKDD (5) 2020: 423-439 - [i78]Sai Saketh Aluru, Binny Mathew, Punyajoy Saha, Animesh Mukherjee:
Deep Learning Models for Multilingual Hate Speech Detection. CoRR abs/2004.06465 (2020) - [i77]Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. CoRR abs/2004.09715 (2020) - [i76]Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee:
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection. CoRR abs/2005.02295 (2020) - [i75]Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee:
Aspect-based Sentiment Analysis of Scientific Reviews. CoRR abs/2006.03257 (2020) - [i74]Sayantan Adak, Atharva Vyas, Animesh Mukherjee, Heer Ambavi, Pritam Kadasi, Mayank Singh, Shivam Patel:
Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network. CoRR abs/2006.03316 (2020) - [i73]Rima Hazra, Aryan, Hardik Aggarwal, Matteo Marsili, Animesh Mukherjee:
Characterising authors on the extent of their paper acceptance: A case study of the Journal of High Energy Physics. CoRR abs/2006.06928 (2020) - [i72]Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee:
Identification, Tracking and Impact: Understanding the trade secret of catchphrases. CoRR abs/2007.13520 (2020) - [i71]Bhanu Prakash Reddy, Sasi Bhusan, Soumya Sarkar, Animesh Mukherjee:
NwQM: A neural quality assessment framework for Wikipedia. CoRR abs/2010.06969 (2020) - [i70]Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. CoRR abs/2012.10289 (2020)
2010 – 2019
- 2019
- [c76]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. ACL (1) 2019: 3263-3274 - [c75]Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee:
StRE: Self Attentive Edit Quality Prediction in Wikipedia. ACL (1) 2019: 3962-3972 - [c74]Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee:
DeepTagRec: A Content-cum-User Based Tag Recommendation Framework for Stack Overflow. ECIR (2) 2019: 125-131 - [c73]Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Automated Early Leaderboard Generation from Comparative Tables. ECIR (1) 2019: 244-257 - [c72]Jasabanta Patro, Srijan Bansal, Animesh Mukherjee:
A deep-learning framework to detect sarcasm targets. EMNLP/IJCNLP (1) 2019: 6335-6341 - [c71]Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
HateMonitors: Language Agnostic Abuse Detection in Social Media. FIRE (Working Notes) 2019: 246-253 - [c70]Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the Spread of Exaggerated Health News Content over Social Media. HT 2019: 279-280 - [c69]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The Rise and Rise of Interdisciplinary Research: Understanding the Interaction Dynamics of Three Major Fields - Physics, Mathematics and Computer Science. ICADL 2019: 71-77 - [c68]Suman Kalyan Maity, Anshit E. Chaudhary, Animesh Mukherjee:
"Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards. ICWSM 2019: 346-357 - [c67]Binny Mathew, Punyajoy Saha, Hardik Tharad, Subham Rajgaria, Prajwal Singhania, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Thou Shalt Not Hate: Countering Online Hate Speech. ICWSM 2019: 369-380 - [c66]Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
A Network-centric Framework for Auditing Recommendation Systems. INFOCOM 2019: 1990-1998 - [c65]Abhik Jana, Animesh Mukherjee, Pawan Goyal:
Detecting reliable novel word senses: a network-centric approach. SAC 2019: 976-983 - [c64]Jasabanta Patro, Nitin Choudhary, Kalpit Chittora, Animesh Mukherjee:
KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. SemEval@NAACL-HLT 2019: 241-246 - [c63]Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Deep Dive into Anonymity: Large Scale Analysis of Quora Questions. SocInfo 2019: 35-49 - [c62]Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee:
Spread of Hate Speech in Online Social Media. WebSci 2019: 173-182 - [p2]Suman Kalyan Maity, Abhishek Panigrahi, Animesh Mukherjee:
Analyzing Social Book Reading Behavior on Goodreads and How It Predicts Amazon Best Sellers. Influence and Behavior Analysis in Social Networks and Social Media 2019: 211-235 - [e1]Subir Biswas, Animesh Mukherjee, Mun Choon Chan, Sandip Chakraborty, Abhinav Kumar, Giridhar Mandyam, Rajeev Shorey:
Communication Systems and Networks - 10th International Conference, COMSNETS 2018, Bangalore, India, January 3-7, 2018, Extended Selected Papers. Lecture Notes in Computer Science 11227, Springer 2019, ISBN 978-3-030-10658-4 [contents] - [i69]Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh:
A Network-centric Framework for Auditing Recommendation Systems. CoRR abs/1902.02710 (2019) - [i68]Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee:
DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow. CoRR abs/1903.03941 (2019) - [i67]Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee:
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings. CoRR abs/1906.03007 (2019) - [i66]Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee:
StRE: Self Attentive Edit Quality Prediction in Wikipedia. CoRR abs/1906.04678 (2019) - [i65]Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee:
The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics & Computer Science. CoRR abs/1908.03793 (2019) - [i64]Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs. CoRR abs/1909.04367 (2019) - [i63]Binny Mathew, Anurag Illendula, Punyajoy Saha, Soumya Sarkar, Pawan Goyal, Animesh Mukherjee:
Temporal effects of Unmoderated Hate speech in Gab. CoRR abs/1909.10966 (2019) - [i62]Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
HateMonitors: Language Agnostic Abuse Detection in Social Media. CoRR abs/1909.12642 (2019) - [i61]Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Analysis of Reference and Citation Copying in Evolving Bibliographic Networks. CoRR abs/1912.11894 (2019) - 2018
- [j23]Soumya Sarkar, Sandipan Sikdar, Sanjukta Bhowmick, Animesh Mukherjee:
Using core-periphery structure to predict high centrality nodes in time-varying networks. Data Min. Knowl. Discov. 32(5): 1368-1396 (2018) - [j22]Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. Proc. ACM Hum. Comput. Interact. 2(CSCW): 117:1-117:27 (2018) - [j21]Suman Kalyan Maity, Aman Kharb, Animesh Mukherjee:
Analyzing the Linguistic Structure of Question Texts to Characterize Answerability in Quora. IEEE Trans. Comput. Soc. Syst. 5(3): 816-828 (2018) - [c61]Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee:
Core2Vec: A Core-Preserving Feature Learning Framework for Networks. ASONAM 2018: 487-490 - [c60]Tanuj Joshi, Animesh Mukherjee, Girish Ippadi:
One Size Does Not Fit All: Predicting Product Returns in E-Commerce Platforms. ASONAM 2018: 926-927 - [c59]Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee:
ComPAS: Community Preserving Sampling for Streaming Graphs. AAMAS 2018: 184-192 - [c58]Soumya Sarkar, Sanjukta Bhowmick, Animesh Mukherjee:
On Rich Clubs of Path-Based Centralities in Networks. CIKM 2018: 567-576 - [c57]Abhik Jana, Pranjal Kanojiya, Pawan Goyal, Animesh Mukherjee:
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages. COLING 2018: 379-389 - [c56]Suman Kalyan Maity, Ayush Kumar, Ankan Mullick, Vishnu Choudhary, Animesh Mukherjee:
Understanding Book Popularity on Goodreads. GROUP 2018: 117-121 - [c55]Suman Kalyan Maity, Ramanth Gajula, Animesh Mukherjee:
Why Did They #Unfollow Me?: Early Detection of Follower Loss on Twitter. GROUP 2018: 127-131 - [c54]Suman Kalyan Maity, Ankan Mullick, Surjya Ghosh, Anil Kumar, Sunny Dhamnani, Sudhanshu Bahety, Animesh Mukherjee:
Understanding Psycholinguistic Behavior of Predominant Drunk Texters in Social Media. ISCC 2018: 1096-1101 - [c53]Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee:
CL Scholar: The ACL Anthology Knowledge Graph Miner. NAACL-HLT (Demonstrations) 2018: 16-20 - [c52]Santosh Tokala, Vaibhav Gambhir, Animesh Mukherjee:
Deep Learning for Social Media Health Text Classification. SMM4H@EMNLP 2018: 61-64 - [i60]Binny Mathew, Suman Kalyan Maity, Pratip Sarkar, Animesh Mukherjee, Pawan Goyal:
Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences. CoRR abs/1802.00231 (2018) - [i59]Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee:
ComPAS: Community Preserving Sampling for Streaming Graphs. CoRR abs/1802.01614 (2018) - [i58]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables. CoRR abs/1802.04538 (2018) - [i57]Suman Kalyan Maity, Ayush Kumar, Ankan Mullick, Vishnu Choudhary, Animesh Mukherjee:
Understanding Book Popularity on Goodreads. CoRR abs/1802.05057 (2018) - [i56]Suman Kalyan Maity, Ramanth Gajula, Animesh Mukherjee:
Why Did They #Unfollow Me? Early Detection of Follower Loss on Twitter. CoRR abs/1802.05091 (2018) - [i55]Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee:
CL Scholar: The ACL Anthology Knowledge Graph Miner. CoRR abs/1804.05514 (2018) - [i54]Suman Kalyan Maity, Ankan Mullick, Surjya Ghosh, Anil Kumar, Sunny Dhamnani, Sudhanshu Bahety, Animesh Mukherjee:
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media. CoRR abs/1805.10774 (2018) - [i53]Abhik Jana, Pranjal Kanojiya, Pawan Goyal, Animesh Mukherjee:
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages. CoRR abs/1806.04092 (2018) - [i52]Soumya Sarkar, Sandipan Sikdar, Animesh Mukherjee, Sanjukta Bhowmick:
Using Core-Periphery Structure to Predict High Centrality Nodes in Time-Varying Networks. CoRR abs/1806.07868 (2018) - [i51]Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee:
Core2Vec: A core-preserving feature learning framework for networks. CoRR abs/1807.02623 (2018) - [i50]Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
On Rich Clubs of Path-Based Centralities in Networks. CoRR abs/1808.02903 (2018) - [i49]Binny Mathew, Hardik Tharad, Subham Rajgaria, Prajwal Singhania, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Thou shalt not hate: Countering Online Hate Speech. CoRR abs/1808.04409 (2018) - [i48]Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. CoRR abs/1809.00289 (2018) - [i47]Suman Kalyan Maity, Abhishek Panigrahi, Animesh Mukherjee:
Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers. CoRR abs/1809.07354 (2018) - [i46]Jasabanta Patro, Rameshwar Bhaskaran, Animesh Mukherjee:
What Propels Celebrity Follower Counts? Language Use or Social Connectivity. CoRR abs/1811.07169 (2018) - [i45]Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee:
Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions. CoRR abs/1811.07223 (2018) - [i44]Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the spread of exaggerated news content over social media. CoRR abs/1811.07853 (2018) - [i43]Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee:
Spread of hate speech in online social media. CoRR abs/1812.01693 (2018) - [i42]Binny Mathew, Navish Kumar, Ravina, Pawan Goyal, Animesh Mukherjee:
Analyzing the hate and counter speech accounts on Twitter. CoRR abs/1812.02712 (2018) - [i41]Abhik Jana, Animesh Mukherjee, Pawan Goyal:
Detecting Reliable Novel Word Senses: A Network-Centric Approach. CoRR abs/1812.05936 (2018) - [i40]Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee:
Hateminers : Detecting Hate speech against Women. CoRR abs/1812.06700 (2018) - [i39]Suman Kalyan Maity, Anshit E. Chaudhary, Animesh Mukherjee:
"Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards. CoRR abs/1812.07759 (2018) - 2017
- [j20]Tanmoy Chakraborty, Ayushi Dalmia, Animesh Mukherjee, Niloy Ganguly:
Metrics for Community Analysis: A Survey. ACM Comput. Surv. 50(4): 54:1-54:37 (2017) - [c51]Suman Kalyan Maity, Abhishek Panigrahi, Animesh Mukherjee:
Book Reading Behavior on Goodreads Can Predict the Amazon Best Sellers. ASONAM 2017: 451-454 - [c50]Utpal Prasad, Nikky Kumari, Niloy Ganguly, Animesh Mukherjee:
Analysis of the Co-purchase Network of Products to Predict Amazon Sales-Rank. BDA 2017: 197-214 - [c49]Suman Kalyan Maity, Aishik Chakraborty, Pawan Goyal, Animesh Mukherjee:
Detection of Sockpuppets in Social Media. CSCW Companion 2017: 243-246 - [c48]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media. EMNLP 2017: 2264-2274 - [c47]Suman Kalyan Maity, Chandra Bhanu Jha, Avinash Kumar, Ayan Sengupta, Madhur Modi, Animesh Mukherjee:
A Large-scale Analysis of the Marketplace Characteristics in Fiverr. HICSS 2017: 1-10 - [c46]Suman Kalyan Maity, Aman Kharb, Animesh Mukherjee:
Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora. ICWSM 2017: 612-615 - [c45]Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee:
AppTechMiner: Mining Applications and Techniques from Scientific Articles. WOSP@JCDL 2017: 1-8 - [c44]Abhik Jana, Sruthi Mooriyath, Animesh Mukherjee, Pawan Goyal:
WikiM: Metapaths Based Wikification of Scientific Abstracts. JCDL 2017: 21-30 - [c43]Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal:
Understanding the Impact of Early Citers on Long-Term Scientific Impact. JCDL 2017: 59-68 - [c42]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
Influence of Reviewer Interaction Network on Long-Term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics. JCDL 2017: 179-188 - [c41]Mayank Singh, Abhishek Niranjan, Divyansh Gupta, Nikhil Angad Bakshi, Animesh Mukherjee, Pawan Goyal:
Citation Sentence Reuse Behavior of Scientists: A Case Study on Massive Bibliographic Text Dataset of Computer Science. JCDL 2017: 277-280 - [c40]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. KDD 2017: 1077-1086 - [c39]Binny Mathew, Suman Kalyan Maity, Pratip Sarkar, Animesh Mukherjee, Pawan Goyal:
Adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences. TextGraphs@ACL 2017: 11-20 - [i38]Suman Kalyan Maity, Aman Kharb, Animesh Mukherjee:
Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora. CoRR abs/1703.04001 (2017) - [i37]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media. CoRR abs/1703.05122 (2017) - [i36]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
Influence of Reviewer Interaction Network on Long-term Citations: A Case Study of the Scientific Peer-Review System of the Journal of High Energy Physics. CoRR abs/1705.01089 (2017) - [i35]Mayank Singh, Abhishek Niranjan, Divyansh Gupta, Nikhil Angad Bakshi, Animesh Mukherjee, Pawan Goyal:
Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science. CoRR abs/1705.02499 (2017) - [i34]Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal:
Understanding the Impact of Early Citers on Long-Term Scientific Impact. CoRR abs/1705.03178 (2017) - [i33]Abhik Jana, Sruthi Mooriyath, Animesh Mukherjee, Pawan Goyal:
WikiM: Metapaths based Wikification of Scientific Abstracts. CoRR abs/1705.03264 (2017) - [i32]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media. CoRR abs/1707.08446 (2017) - [i31]Sanyam Agarwal, Mayank Singh, Soham Dan, Pawan Goyal, Animesh Mukherjee:
AppTechMiner: Mining Applications and Techniques from Scientific Articles. CoRR abs/1709.03064 (2017) - 2016
- [j19]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. J. Informetrics 10(4): 1005-1022 (2016) - [j18]Souvik Sur, Niloy Ganguly, Animesh Mukherjee:
Brokerage-based attack on real world temporal networks. Netw. Sci. 4(4): 446-459 (2016) - [j17]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
Permanence and Community Structure in Complex Networks. ACM Trans. Knowl. Discov. Data 11(2): 14:1-14:34 (2016) - [j16]Tanmoy Chakraborty, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
GenPerm: A Unified Method for Detecting Non-Overlapping and Overlapping Communities. IEEE Trans. Knowl. Data Eng. 28(8): 2101-2114 (2016) - [j15]Amit Kumar Gupta, Indrajit Bhattacharya, Parthasarathi Banerjee, Jyotsna Kumar Mandal, Animesh Mukherjee:
DirMove: direction of movement based routing in DTN architecture for post-disaster scenario. Wirel. Networks 22(3): 723-740 (2016) - [c38]Soumya Sarkar, Suhansanu Kumar, Sanjukta Bhowmick, Animesh Mukherjee:
Sensitivity and reliability in incomplete networks: Centrality metrics to community scoring functions. ASONAM 2016: 69-72 - [c37]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics. CIKM 2016: 2245-2250 - [c36]Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections. CIKM 2016: 2347-2352 - [c35]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. COLING 2016: 3390-3400 - [c34]Suman Kalyan Maity, Ritvik Saraf, Animesh Mukherjee:
#Bieber + #Blast = #BieberBlast: Early Prediction of Popular Hashtag Compounds. CSCW 2016: 50-63 - [c33]Suman Kalyan Maity, Anshit E. Chaudhary, Shraman Kumar, Animesh Mukherjee, Chaitanya Sarda, Abhijeet Patil, Akash Mondal:
WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. CSCW Companion 2016: 341-344 - [c32]Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee:
Identifying and Characterizing Sleeping Beauties on YouTube. CSCW Companion 2016: 405-408 - [c31]Utpal Prasad, Niloy Ganguly, Animesh Mukherjee, Nikky Kumari, Mohit Kumar:
The role of outsiders in consensus formation: A case study of Yelp. CSCW Companion 2016: 425-428 - [c30]Suman Kalyan Maity, Bhadreswar Ghuku, Abhishek Upmanyu, Animesh Mukherjee:
Out of Vocabulary Words Decrease, Running Texts Prevail and Hashtags Coalesce: Twitter as an Evolving Sociolinguistic System. HICSS 2016: 1681-1690 - [c29]Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee:
FeRoSA: A Faceted Recommendation System for Scientific Articles. PAKDD (2) 2016: 528-541 - [i30]Suman Kalyan Maity, Chaitanya Sarda, Anshit E. Chaudhary, Abhijeet Patil, Shraman Kumar, Akash Mondal, Animesh Mukherjee:
WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter. CoRR abs/1602.00293 (2016) - [i29]Tanmoy Chakraborty, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
GenPerm: A Unified Method for Detecting Non-overlapping and Overlapping Communities. CoRR abs/1604.03454 (2016) - [i28]Tanmoy Chakraborty, Ayushi Dalmia, Animesh Mukherjee, Niloy Ganguly:
Metrics for Community Analysis: A Survey. CoRR abs/1604.03512 (2016) - [i27]Sudipta Saha, Animesh Mukherjee, Niloy Ganguly:
Coverage analysis of information dissemination in throwbox-augmented DTN. CoRR abs/1604.05428 (2016) - [i26]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
Permanence and Community Structure in Complex Networks. CoRR abs/1606.01543 (2016) - [i25]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization. CoRR abs/1608.01101 (2016) - [i24]Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee:
Anomalies in the peer-review system: A case study of the journal of High Energy Physics. CoRR abs/1608.04875 (2016) - [i23]Soumya Sarkar, Sanjukta Bhowmick, Suhansanu Kumar, Animesh Mukherjee:
Sensitivity and Reliability in Incomplete Networks: Centrality Metrics to Community Scoring Functions. CoRR abs/1608.05295 (2016) - [i22]Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee:
Which techniques does your application use?: An information extraction framework for scientific articles. CoRR abs/1608.06386 (2016) - [i21]Vladimir Ufimtsev, Soumya Sarkar, Animesh Mukherjee, Sanjukta Bhowmick:
Understanding Stability of Noisy Networks through Centrality Measures and Local Connections. CoRR abs/1609.05402 (2016) - [i20]Suman Kalyan Maity, Chandra Bhanu Jha, Avinash Kumar, Ayan Sengupta, Madhur Modi, Animesh Mukherjee:
A Large-scale Analysis of the Marketplace Characteristics in Fiverr. CoRR abs/1609.06004 (2016) - [i19]Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee:
OCR++: A Robust Framework For Information Extraction from Scholarly Articles. CoRR abs/1609.06423 (2016) - [i18]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. CoRR abs/1609.08371 (2016) - 2015
- [j14]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
On the categorization of scientific citation profiles in computer science. Commun. ACM 58(9): 82-90 (2015) - [j13]Tanmoy Chakraborty, Vihar Tammana, Niloy Ganguly, Animesh Mukherjee:
Understanding and modeling diverse scientific careers of researchers. J. Informetrics 9(1): 69-78 (2015) - [j12]Sunny Mitra, Ritwik Mitra, Suman Kalyan Maity, Martin Riedl, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
An automatic approach to identify word sense changes in text media across timescales. Nat. Lang. Eng. 21(5): 773-798 (2015) - [j11]Tanmoy Chakraborty, Niloy Ganguly, Animesh Mukherjee:
An author is known by the context she keeps: significance of network motifs in scientific collaborations. Soc. Netw. Anal. Min. 5(1): 16:1-16:21 (2015) - [c28]Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset. CIKM 2015: 1271-1280 - [c27]Suman Kalyan Maity, Jot Sarup Singh Sahni, Animesh Mukherjee:
Analysis and Prediction of Question Topic Popularity in Community Q&A Sites: A Case Study of Quora. ICWSM 2015: 238-247 - [c26]Suman Kalyan Maity, Abhishek Gupta, Pawan Goyal, Animesh Mukherjee:
A Stratified Learning Approach for Predicting the Popularity of Twitter Idioms. ICWSM 2015: 642-645 - [c25]Sandipan Sikdar, Marcin Bodych, Rajib Ranjan Maiti, Biswajit Paria, Niloy Ganguly, Tyll Krueger, Animesh Mukherjee:
On the broadcast of segmented messages in dynamic networks. INFOCOM Workshops 2015: 426-431 - [c24]Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal:
ConfAssist: A Conflict Resolution Framework for Assisting the Categorization of Computer Science Conferences. JCDL 2015: 257-258 - [c23]Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. KDD 2015: 109-118 - [i17]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
On the categorization of scientific citation profiles in computer sciences. CoRR abs/1503.06268 (2015) - [i16]Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee:
On the Formation of Circles in Co-authorship Networks. CoRR abs/1505.04560 (2015) - [i15]Suman Kalyan Maity, Bhadreswar Ghuku, Abhishek Upmanyu, Animesh Mukherjee:
Out of vocabulary words decrease, running texts prevail and hashtags coalesce: Twitter as an evolving sociolinguistic system. CoRR abs/1509.05096 (2015) - [i14]Suman Kalyan Maity, Ritvik Saraf, Animesh Mukherjee:
#Bieber + #Blast = #BieberBlast: Early Prediction of Popular Hashtag Compounds. CoRR abs/1510.00249 (2015) - [i13]Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti:
Sic Transit Gloria Manuscriptum: Two Views of the Aggregate Fate of Ancient Papers. CoRR abs/1511.08310 (2015) - [i12]Sandipan Sikdar, Niloy Ganguly, Animesh Mukherjee:
Time series analysis of temporal networks. CoRR abs/1512.01344 (2015) - 2014
- [j10]Rajib Ranjan Maiti, Arun Mallya, Animesh Mukherjee, Niloy Ganguly:
Understanding the Correlation of the Properties of Human movement Patterns. Adv. Complex Syst. 17(6) (2014) - [j9]Tanmoy Chakraborty, Sandipan Sikdar, Niloy Ganguly, Animesh Mukherjee:
Citation interactions among computer science fields: a quantitative route to the rise and fall of scientific research. Soc. Netw. Anal. Min. 4(1): 187 (2014) - [c22]Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal:
That's sick dude!: Automatic identification of word sense change across different timescales. ACL (1) 2014: 1020-1029 - [c21]Tanmoy Chakraborty, Niloy Ganguly, Animesh Mukherjee:
Automatic classification of scientific groups as productive: An approach based on motif analysis. ASONAM 2014: 130-137 - [c20]Tanmoy Chakraborty, Niloy Ganguly, Animesh Mukherjee:
Rising popularity of interdisciplinary research - An analysis of citation networks. COMSNETS 2014: 1-6 - [c19]Tanmoy Chakraborty, Suhansanu Kumar, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee:
Towards a stratified learning approach to predict future citation counts. JCDL 2014: 351-360 - [c18]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
On the permanence of vertices in network communities. KDD 2014: 1396-1405 - [i11]Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal:
That's sick dude!: Automatic identification of word sense change across different timescales. CoRR abs/1405.4392 (2014) - [i10]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Animesh Mukherjee, Sanjukta Bhowmick:
On the Permanence of Vertices in Network Communities. CoRR abs/1406.2426 (2014) - 2013
- [j8]Saptarshi Ghosh, Sudipta Saha, Ajitesh Srivastava, Tyll Krueger, Niloy Ganguly, Animesh Mukherjee:
Understanding Evolution of Inter-Group Relationships Using Bipartite Networks. IEEE J. Sel. Areas Commun. 31(9-Supplement): 584-594 (2013) - [c17]Tanmoy Chakraborty, Sandipan Sikdar, Vihar Tammana, Niloy Ganguly, Animesh Mukherjee:
Computer science fields as ground-truth communities: their impact, rise and fall. ASONAM 2013: 426-433 - [c16]Saptarshi Ghosh, Sanket Agarwal, Himanshu Srivastava, Animesh Mukherjee:
Run-time delays in Indian Railways: is traffic the cause? ACM DEV (3) 2013: 20:1-20:2 - [c15]Tanmoy Chakraborty, Srijan Kumar, M. Dastagiri Reddy, Suhansanu Kumar, Niloy Ganguly, Animesh Mukherjee:
Automatic Classification and Analysis of Interdisciplinary Fields in Computer Sciences. SocialCom 2013: 180-187 - [c14]Suman Kalyan Maity, Abhishek Porwal, Animesh Mukherjee:
Understanding How Learning Affects Agreement Process in Social Networks. SocialCom 2013: 228-235 - [p1]Animesh Mukherjee, Monojit Choudhury, Niloy Ganguly, Anupam Basu:
Language Dynamics in the Framework of Complex Networks: A Case Study on Self-Organization of the Consonant Inventories. Cognitive Aspects of Computational Language Acquisition 2013: 51-78 - [i9]Tanmoy Chakraborty, Sriram Srinivasan, Niloy Ganguly, Sanjukta Bhowmick, Animesh Mukherjee:
Constant Communities in Complex Networks. CoRR abs/1302.5794 (2013) - [i8]Biplab Bhattacherjee, S. S. Manna, Animesh Mukherjee:
Information sharing and sorting in a community. CoRR abs/1306.0646 (2013) - 2012
- [j7]Animesh Mukherjee, Vittorio Loreto, Francesca Tria:
Why are Basic Color Names "Basic"? Adv. Complex Syst. 15(3-4) (2012) - [c13]Sudipta Saha, Niloy Ganguly, Animesh Mukherjee:
Information dissemination dynamics in delay tolerant network: a bipartite network approach. MobiOpp 2012: 21-28 - [c12]Suman Kalyan Maity, Animesh Mukherjee:
Understanding How Dominance Affects the Emergence of Agreement in a Social Network: The Case of Naming Game. SocialCom/PASSAT 2012: 508-513 - [i7]Suman Kalyan Maity, T. Venkat Manoj, Animesh Mukherjee:
Opinion formation in time-varying social networks: The case of Naming Game. CoRR abs/1204.1160 (2012) - 2011
- [j6]Animesh Mukherjee, Monojit Choudhury, Samer Hassan, Smaranda Muresan:
Network based models of cognitive and social dynamics of human languages. Comput. Speech Lang. 25(3): 635-638 (2011) - [j5]Francesca Tria, Animesh Mukherjee, Andrea Baronchelli, Andrea Puglisi, Vittorio Loreto:
A fast no-rejection algorithm for the Category Game. J. Comput. Sci. 2(4): 316-323 (2011) - [i6]Animesh Mukherjee, Francesca Tria, Andrea Baronchelli, Andrea Puglisi, Vittorio Loreto:
Aging in language dynamics. CoRR abs/1101.2804 (2011) - [i5]Debajyoti Mukhopadhyay, Animesh Mukherjee, Surjya Ghosh, Sudipto Biswas, Poulami Chakraborty:
An Approach for Message Hiding using Substitution Techniques and Audio Hiding in Steganography. CoRR abs/1109.4709 (2011) - 2010
- [j4]Animesh Mukherjee, Monojit Choudhury, Anupam Basu, Niloy Ganguly:
Modelling the Redundancy of Human Speech Sound Inventories: An Information Theoretic Approach. J. Quant. Linguistics 17(4): 317-343 (2010) - [c11]Animesh Mukherjee, Andrea Baronchelli, Vittorio Loreto, Andrea Puglisi, Francesca Tria:
Aging in the Emergence of Linguistic Categories. ALIFE 2010: 589-590 - [c10]Monojit Choudhury, Diptesh Chatterjee, Animesh Mukherjee:
Global topology of word co-occurrence networks: Beyond the two-regime power-law. COLING (Posters) 2010: 162-170 - [i4]Francesca Tria, Animesh Mukherjee, Andrea Baronchelli, Andrea Puglisi, Vittorio Loreto:
A fast no-rejection algorithm for the Category Game. CoRR abs/1012.3583 (2010)
2000 – 2009
- 2009
- [j3]Animesh Mukherjee, Monojit Choudhury, Anupam Basu, Niloy Ganguly:
Self-organization of the Sound Inventories: Analysis and Synthesis of the Occurrence and Co-occurrence Networks of Consonants. J. Quant. Linguistics 16(2): 157-184 (2009) - [c9]Chris Biemann, Monojit Choudhury, Animesh Mukherjee:
Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks. ACL/IJCNLP (2) 2009: 245-248 - [c8]Animesh Mukherjee, Monojit Choudhury, Ravi Kannan:
Discovering Global Patterns in Linguistic Networks through Spectral Analysis: A Case Study of the Consonant Inventories. EACL 2009: 585-593 - [i3]Animesh Mukherjee, Monojit Choudhury, Ravi Kannan:
Discovering Global Patterns in Linguistic Networks through Spectral Analysis: A Case Study of the Consonant Inventories. CoRR abs/0901.2216 (2009) - [i2]Monojit Choudhury, Animesh Mukherjee, Anupam Basu, Niloy Ganguly, Ashish Garg, Vaibhav Jalan:
Language Diversity across the Consonant Inventories: A Study in the Framework of Complex Networks. CoRR abs/0904.1289 (2009) - [i1]Chris Biemann, Monojit Choudhury, Animesh Mukherjee:
Syntax is from Mars while Semantics from Venus! Insights from Spectral Analysis of Distributional Similarity Networks. CoRR abs/0906.1467 (2009) - 2008
- [j2]Animesh Mukherjee, Monojit Choudhury, Anupam Basu, Niloy Ganguly, Shamik Roy Chowdhury:
Rediscovering the Co-Occurrence Principles of vowel inventories: a Complex Network Approach. Adv. Complex Syst. 11(3): 371-392 (2008) - [c7]Animesh Mukherjee, Monojit Choudhury, Anupam Basu, Niloy Ganguly:
Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach. COLING 2008: 601-608 - [c6]Monojit Choudhury, Animesh Mukherjee, Niloy Ganguly:
Social Network Inspired Models of NLP and Language Evolution. IJCNLP 2008: 937 - [c5]Joy Deep Nath, Monojit Choudhury, Animesh Mukherjee, Christian Biemann, Niloy Ganguly:
Unsupervised Parts-of-Speech Induction for Bengali. LREC 2008 - 2007
- [j1]Monojit Choudhury, Rahul Saraf, Vijit Jain, Animesh Mukherjee, Sudeshna Sarkar, Anupam Basu:
Investigation and modeling of the structure of texting language. Int. J. Document Anal. Recognit. 10(3-4): 157-174 (2007) - [c4]Animesh Mukherjee, Monojit Choudhury, Anupam Basu, Niloy Ganguly:
Redundancy Ratio: An Invariant Property of the Consonant Inventories of the World's Languages. ACL 2007 - [c3]Animesh Mukherjee, Monojit Choudhury, Anupam Basu, Niloy Ganguly:
Emergence of Community Structures in Vowel Inventories: An Analysis Based on Complex Networks. SIGMORPHON 2007: 101-108 - 2006
- [c2]Monojit Choudhury, Animesh Mukherjee, Anupam Basu, Niloy Ganguly:
Analysis and Synthesis of the Distribution of Consonants over Languages: A Complex Network Approach. ACL 2006 - 2005
- [c1]Animesh Mukherjee, Samit Bhattacharya, Prankrishna Halder, Anupam Basu:
A Virtual Predictive Keyboard as a Learning Aid for People with Neuro-Motor Disorders. ICALT 2005: 1032-1036
Coauthor Index
Chris Biemann
aka: Christian Biemann
aka: Christian Biemann
[c140] [c127] [i135] [i120] [j35] [c123] [c93] [i83] [j27] [c59] [i59] [j20] [c50] [c42] [i36] [j18] [j17] [j16] [c37] [c32] [c31] [c29] [i29] [i28] [i27] [i26] [i24] [j14] [j13] [j11] [c25] [i17] [i12] [j10] [j9] [c21] [c20] [c19] [c18] [i10] [j8] [c17] [c15] [p1] [i9] [c13] [j4] [j3] [i2] [j2] [c7] [c6] [c5] [c4] [c3] [c2]
[i109] [c108] [c99] [i94] [c95] [c92] [c89] [i90] [i85] [i82] [j28] [j26] [j25] [j24] [c85] [c84] [c79] [i75] [i70] [c76] [c74] [c73] [c71] [c70] [c69] [c67] [c65] [c63] [c62] [i68] [i67] [i65] [i64] [i63] [i62] [i61] [j22] [c57] [c53] [i60] [i58] [i55] [i53] [i49] [i48] [i45] [i44] [i43] [i42] [i41] [i40] [c49] [c45] [c44] [c43] [c41] [c40] [c39] [i35] [i34] [i33] [i31] [j19] [c35] [c29] [i25] [i22] [i19] [i18] [j14] [j12] [c28] [c26] [c24] [c23] [i17] [i16] [i13] [c22] [c19] [i11]
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