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ORCIDVasudeva Varma
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- affiliation: International Institute of Information Technology Hyderabad, India
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2020 – today
- 2025
[j24]Nitin Ramrakhiyani
, Vasudeva Varma, Girish Keshav Palshikar, Sachin Pawar:
Gauging, enriching and applying geography knowledge in Pre-trained Language Models. Inf. Process. Manag. 62(1): 103892 (2025)- 2024
- [j23]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Multi-task learning neural framework for categorizing sexism. Comput. Speech Lang. 83: 101535 (2024) - [c240]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Can LLMs Generate Architectural Design Decisions? - An Exploratory Empirical Study. ICSA 2024: 79-89 - [c239]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Leveraging Generative AI for Architecture Knowledge Management. ICSA-C 2024: 163-166 - [c238]Gokul Thota, Vasudeva Varma:
Generating Entity Embeddings for Populating Wikipedia Knowledge Graph by Notability Detection. NLDB (2) 2024: 10-23 - [c237]Rahul Mehta, Bhavyajeet Singh, Vasudeva Varma, Manish Gupta:
CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images. ECML/PKDD (1) 2024: 440-460 - [c236]Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models. SemEval@NAACL 2024: 342-348 - [c235]Harshit Gupta, Manav Chaudhary, Shivansh Subramanian, Tathagata Raha, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. SemEval@NAACL 2024: 1758-1766 - [c234]Gokul Thota, Vasudeva Varma:
A Category-agnostic Graph Attention-based Approach for Determining Notability of Articles for Wikipedia. WWW (Companion Volume) 2024: 911-914 - [i52]Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma:
Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study. CoRR abs/2403.01709 (2024) - [i51]Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang, Vasudeva Varma:
MetaCheckGPT - A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models. CoRR abs/2404.06948 (2024) - [i50]Manav Chaudhary, Harshit Gupta, Vasudeva Varma:
BrainStorm @ iREL at SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets. CoRR abs/2405.11192 (2024) - [i49]Harshit Gupta, Manav Chaudhary, Tathagata Raha, Shivansh Subramanian, Vasudeva Varma:
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers. CoRR abs/2405.16129 (2024) - [i48]Manav Chaudhary, Harshit Gupta, Savita Bhat, Vasudeva Varma:
Towards Understanding the Robustness of LLM-based Evaluations under Perturbations. CoRR abs/2412.09269 (2024) - [i47]Kancharla Aditya Hari, Manish Gupta, Vasudeva Varma:
Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy Data. CoRR abs/2412.13484 (2024) - 2023
- [c233]Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. ECAI 2023: 2162-2169 - [c232]Nitin Ramrakhiyani, Vasudeva Varma, Girish Keshav Palshikar:
Extracting Orientation Relations between Geo-Political Entities from their Wikipedia Text. GeoExT@ECIR 2023: 44-50 - [c231]Praveen Garimella, Vasudeva Varma:
Learning through Wikipedia and Generative AI Technologies. EDM 2023 - [c230]Nitin Ramrakhiyani, Vasudeva Varma, Girish K. Palshikar, Sachin Pawar:
Zero-shot Probing of Pretrained Language Models for Geography Knowledge. Eval4NLP 2023: 49-61 - [c229]Savita Bhat, Vasudeva Varma:
Large Language Models As Annotators: A Preliminary Evaluation For Annotating Low-Resource Language Content. Eval4NLP 2023: 100-107 - [c228]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. INLG 2023: 15-27 - [c227]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural Models for Factual Inconsistency Classification with Explanations. ECML/PKDD (3) 2023: 410-427 - [c226]Savita Bhat, Vasudeva Varma, Niranjan Pedanekar:
Generative Models For Indic Languages: Evaluating Content Generation Capabilities. RANLP 2023: 187-195 - [c225]Rahul Mehta, Vasudeva Varma:
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa. SemEval@ACL 2023: 453-456 - [c224]Nirmal Manoj, Sagar Joshi, Ankita Maity, Vasudeva Varma:
iREL at SemEval-2023 Task 10: Multi-level Training for Explainable Detection of Online Sexism. SemEval@ACL 2023: 1691-1696 - [c223]Anubhav Sharma, Sagar Joshi, Tushar Abhishek, Radhika Mamidi, Vasudeva Varma:
Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling. SemEval@ACL 2023: 1878-1889 - [c222]Vijayasaradhi Indurthi, Vasudeva Varma:
Francis Wilde at SemEval-2023 Task 5: Clickbait Spoiler Type Identification with Transformers. SemEval@ACL 2023: 1890-1893 - [c221]Bhavyajeet Singh, Ankita Maity, Pavan Kandru, Aditya Hari, Vasudeva Varma:
iREL at SemEval-2023 Task 9: Improving understanding of multilingual Tweets using Translation-Based Augmentation and Domain Adapted Pre-Trained Models. SemEval@ACL 2023: 2052-2057 - [c220]Pavan Kandru, Bhavyajeet Singh, Ankita Maity, Kancharla Aditya Hari, Vasudeva Varma:
Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments Using DeBERTa. SemEval@ACL 2023: 2062-2066 - [c219]Ankita Maity, Pavan Kandru, Bhavyajeet Singh, Kancharla Aditya Hari, Vasudeva Varma:
IREL at SemEval-2023 Task 11: User Conditioned Modelling for Toxicity Detection in Subjective Tasks. SemEval@ACL 2023: 2133-2136 - [c218]Dhaval Taunk, Lakshya Khanna, Siri Venkata Pavan Kumar Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi:
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. WWW (Companion Volume) 2023: 1138-1144 - [c217]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. WWW 2023: 1703-1713 - [i46]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. CoRR abs/2301.00152 (2023) - [i45]Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma:
Graph-based Keyword Planning for Legal Clause Generation from Topics. CoRR abs/2301.06901 (2023) - [i44]Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma:
Investigating Strategies for Clause Recommendation. CoRR abs/2301.10716 (2023) - [i43]Bhavyajeet Singh, Pavan Kandru, Anubhav Sharma, Vasudeva Varma:
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. CoRR abs/2302.04790 (2023) - [i42]Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. CoRR abs/2303.12308 (2023) - [i41]Dhaval Taunk, Lakshya Khanna, Pavan Kandru, Vasudeva Varma, Charu Sharma, Makarand Tapaswi:
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering. CoRR abs/2303.12320 (2023) - [i40]Dhaval Taunk, Vasudeva Varma:
Summarizing Indian Languages using Multilingual Transformers based Models. CoRR abs/2303.16657 (2023) - [i39]Rahul Mehta, Vasudeva Varma:
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER using XLM-RoBERTa. CoRR abs/2305.03300 (2023) - [i38]Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, K. V. Aditya Srivatsa, Manish Gupta, Vasudeva Varma:
Neural models for Factual Inconsistency Classification with Explanations. CoRR abs/2306.08872 (2023) - [i37]Ankita Maity, Anubhav Sharma, Rudra Dhar, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
Multilingual Bias Detection and Mitigation for Indian Languages. CoRR abs/2312.15181 (2023) - 2022
- [c216]Sagar Joshi, Sumanth Balaji, Aparna Garimella, Vasudeva Varma:
Graph-based Keyword Planning for Legal Clause Generation from Topics. NLLP@EMNLP 2022: 276-286 - [c215]Dhaval Taunk, Sagar Joshi, Vasudeva Varma:
Profiling irony and stereotype spreaders on Twitter based on term frequency in tweets. CLEF (Working Notes) 2022: 2682-2686 - [c214]Sagar Joshi, Sumanth Balaji, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
Efficacy of Pretrained Architectures for Code Comment Usefulness Prediction. FIRE (Working Notes) 2022: 29-33 - [c213]Sumanth Balaji, Sagar Joshi, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
COVID-19 vaccine stance classification from tweets. FIRE (Working Notes) 2022: 320-324 - [c212]Dhaval Taunk, Vasudeva Varma:
Summarizing Indian Languages using Multilingual Transformers based Models. FIRE (Working Notes) 2022: 435-442 - [c211]Sayar Ghosh Roy, Anshul Padhi, Risubh Jain, Manish Gupta, Vasudeva Varma:
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents. HT 2022: 11-20 - [c210]Bhavyajeet Singh, Siri Venkata Pavan Kumar Kandru, Anubhav Sharma, Vasudeva Varma:
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. ICON 2022: 11-18 - [c209]Sagar Joshi, Sumanth Balaji, Jerrin Thomas, Aparna Garimella, Vasudeva Varma:
Investigating Strategies for Clause Recommendation. JURIX 2022: 73-82 - [c208]Sravani Boinepelli, Tathagata Raha, Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Leveraging Mental Health Forums for User-level Depression Detection on Social Media. LREC 2022: 5418-5427 - [c207]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Fact Aware Multi-task Learning for Text Coherence Modeling. PAKDD (2) 2022: 340-353 - [c206]Tathagata Raha, Sagar Joshi, Vasudeva Varma:
IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes. SemEval@NAACL 2022: 673-678 - [c205]Sagar Joshi, Dhaval Taunk, Vasudeva Varma:
IIIT-MLNS at SemEval-2022 Task 8: Siamese Architecture for Modeling Multilingual News Similarity. SemEval@NAACL 2022: 1145-1150 - [c204]Varsha Reddy, Harika Abburi, Niyati Chhaya, Tamara Mitrovska, Vasudeva Varma:
'You Are Big, S/he Is Small' Detecting Body Shaming in Online User Content. SocInfo 2022: 389-397 - [c203]Himanshu Maheshwari, Vasudeva Varma:
An Ensemble Approach to Detect Emotions at an Essay Level. WASSA@ACL 2022: 276-279 - [c202]Akshat Gahoi, Jayant Duneja, Anshul Padhi, Shivam Mangale, Saransh Rajput, Tanvi Kamble, Dipti Misra Sharma, Vasudeva Varma:
Gui at MixMT 2022 : English-Hinglish : An MT Approach for Translation of Code Mixed Data. WMT 2022: 1126-1130 - [c201]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. WWW (Companion Volume) 2022: 171-175 - [i36]Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages. CoRR abs/2202.00291 (2022) - [i35]Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. CoRR abs/2209.11252 (2022) - [i34]Akshat Gahoi, Jayant Duneja, Anshul Padhi, Shivam Mangale, Saransh Rajput, Tanvi Kamble, Dipti Misra Sharma, Vasudeva Varma:
Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data. CoRR abs/2210.12215 (2022) - 2021
- [j22]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-Grained Multi-label Sexism Classification Using a Semi-Supervised Multi-level Neural Approach. Data Sci. Eng. 6(4): 359-379 (2021) - [j21]Pulkit Parikh, Harika Abburi, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Categorizing Sexism and Misogyny through Neural Approaches. ACM Trans. Web 15(4): 17:1-17:31 (2021) - [c200]Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. CONSTRAINT@AAAI 2021: 236-243 - [c199]Tanmay Sachan, Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
SCATE: shared cross attention transformer encoders for multimodal fake news detection. ASONAM 2021: 399-406 - [c198]Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma:
Goal-Directed Extractive Summarization of Financial Reports. CIKM 2021: 2817-2821 - [c197]Swayatta Daw, Shivprasad Sagare, Tushar Abhishek, Vikram Pudi, Vasudeva Varma:
Cross-lingual Alignment of Knowledge Graph Triples with Sentences. ICON 2021: 629-637 - [c196]Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
T3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter. PAKDD (1) 2021: 686-700 - [c195]Ramkishore Saravanan, Nikhil Pinnaparaju, Vasudeva Varma:
Addressing Issues in Training Neural Extractive Summarisation Models. PReMI 2021: 280-288 - [c194]Tathagata Raha, Ishan Sanjeev Upadhyay, Radhika Mamidi, Vasudeva Varma:
IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining. SemEval@ACL/IJCNLP 2021: 1221-1225 - [c193]Harika Abburi, Shradha Sehgal, Himanshu Maheshwari, Vasudeva Varma:
Knowledge-based Neural Framework for Sexism Detection and Classification. IberLEF@SEPLN 2021: 402-414 - [c192]Yash Agrawal, Vivek Anand, S. Arunachalam, Vasudeva Varma:
Hierarchical Model for Goal Guided Summarization of Annual Financial Reports. WWW (Companion Volume) 2021: 247-254 - [i33]Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma:
Leveraging Multilingual Transformers for Hate Speech Detection. CoRR abs/2101.03207 (2021) - [i32]Tathagata Raha, Sayar Ghosh Roy, Ujwal Narayan, Zubair Abid, Vasudeva Varma:
Task Adaptive Pretraining of Transformers for Hostility Detection. CoRR abs/2101.03382 (2021) - [i31]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. CoRR abs/2101.03553 (2021) - [i30]Tathagata Raha, Vijayasaradhi Indurthi, Aayush Upadhyaya, Jeevesh Kataria, Pramud Bommakanti, Vikram Keswani, Vasudeva Varma:
Identifying COVID-19 Fake News in Social Media. CoRR abs/2101.11954 (2021) - [i29]Sachin Pawar, Ravina More, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text. CoRR abs/2103.06078 (2021) - [i28]Tushar Abhishek, Daksh Rawat, Manish Gupta, Vasudeva Varma:
Transformer Models for Text Coherence Assessment. CoRR abs/2109.02176 (2021) - 2020
- [j20]Nikhil Pattisapu, Vivek Anand, Sangameshwar Patil, Girish Keshav Palshikar, Vasudeva Varma:
Distant supervision for medical concept normalization. J. Biomed. Informatics 109: 103522 (2020) - [c191]Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. AAAI 2020: 9008-9015 - [c190]Swapnil Hingmire, Nitin Ramrakhiyani, Avinash Kumar Singh, Sangameshwar Patil, Girish Keshav Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Extracting Message Sequence Charts from Hindi Narrative Text. NUSE@ACL 2020: 87-96 - [c189]Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari:
Compression of Deep Learning Models for NLP. CIKM 2020: 3507-3508 - [c188]Nikhil Pinnaparaju, Vijayasaradhi Indurthi, Vasudeva Varma:
Identifying Fake News Spreaders in Social Media. CLEF (Working Notes) 2020 - [c187]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma:
Predicting Clickbait Strength in Online Social Media. COLING 2020: 4835-4846 - [c186]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification. COLING 2020: 5810-5820 - [c185]Sayar Ghosh Roy, Nikhil Pinnaparaju, Risubh Jain, Manish Gupta, Vasudeva Varma:
Summaformers @ LaySumm 20, LongSumm 20. SDP@EMNLP 2020: 336-343 - [c184]Sayar Ghosh Roy, Ujwal Narayan, Tathagata Raha, Zubair Abid, Vasudeva Varma:
Leveraging Multilingual Transformers for Hate Speech Detection. FIRE (Working Notes) 2020: 128-138 - [c183]Kripabandhu Ghosh, Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Retrieval of Prior Court Cases Using Witness Testimonies. JURIX 2020: 43-51 - [c182]Sravani Boinepelli, Manish Shrivastava, Vasudeva Varma:
SIS@IIITH at SemEval-2020 Task 8: An Overview of Simple Text Classification Methods for Meme Analysis. SemEval@COLING 2020: 1190-1194 - [c181]Nikhil Pattisapu, Nishant Prabhu, Smriti Bhati, Vasudeva Varma:
Leveraging Social Media for Medical Text Simplification. SIGIR 2020: 851-860 - [c180]Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Fine-grained Multi-label Sexism Classification Using Semi-supervised Learning. WISE (2) 2020: 531-547 - [c179]Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein:
Semantic Textual Similarity of Sentences with Emojis. WWW (Companion Volume) 2020: 426-430 - [i27]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. CoRR abs/2001.05495 (2020)
2010 – 2019
- 2019
- [j19]Supratik Chakraborty, Vasudeva Varma:
Highlights of software R&D in India. Commun. ACM 62(11): 88-91 (2019) - [j18]Pattisapu Nikhil Priyatam, Manish Gupta, Ponnurangam Kumaraguru, Vasudeva Varma:
A distant supervision based approach to medical persona classification. J. Biomed. Informatics 94 (2019) - [c178]Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma:
Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. AffCon@AAAI 2019: 120-128 - [c177]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma:
Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. ECIR (2) 2019: 45-52 - [c176]Nitin Ramrakhiyani, Girish K. Palshikar, Vasudeva Varma:
A Simple Neural Approach to Spatial Role Labelling. ECIR (2) 2019: 102-108 - [c175]Litton J. Kurisinkel, Yue Zhang, Vasudeva Varma:
Domain Adaptive Neural Sentence Compression by Tree Cutting. ECIR (1) 2019: 475-488 - [c174]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. EMNLP/IJCNLP (1) 2019: 1642-1652 - [c173]Girish Keshav Palshikar, Nitin Ramrakhiyani, Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Vasudeva Varma, Pushpak Bhattacharyya:
Extraction of Message Sequence Charts from Software Use-Case Descriptions. NAACL-HLT (2) 2019: 130-137 - [c172]Nikhil Pattisapu, Sangameshwar Patil, Girish K. Palshikar, Vasudeva Varma:
Medical Concept Normalization by Encoding Target Knowledge. ML4H@NeurIPS 2019: 246-259 - [c171]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Nikhil Chakravartula, Manish Gupta, Vasudeva Varma:
FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter. SemEval@NAACL-HLT 2019: 70-74 - [c170]Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings. SemEval@NAACL-HLT 2019: 611-616 - [c169]Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Shrivastava, Manish Gupta, Vasudeva Varma:
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums. SemEval@NAACL-HLT 2019: 1160-1164 - [c168]Bakhtiyar Syed, Vijayasaradhi Indurthi, Balaji Vasan Srinivasan, Vasudeva Varma:
Helium @ CL-SciSumm-19 : Transfer learning for effective scientific research comprehension. BIRNDL@SIGIR 2019: 214-223 - [c167]Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
clstk: The Cross-Lingual Summarization Tool-Kit. WSDM 2019: 766-769 - [c166]Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma:
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations. WWW 2019: 49-59 - [c165]Dhruv Khattar, Jaipal Singh Goud, Manish Gupta, Vasudeva Varma:
MVAE: Multimodal Variational Autoencoder for Fake News Detection. WWW 2019: 2915-2921 - [i26]Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma:
Adapting Language Models for Non-Parallel Author-Stylized Rewriting. CoRR abs/1909.09962 (2019) - [i25]Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma:
Multi-label Categorization of Accounts of Sexism using a Neural Framework. CoRR abs/1910.04602 (2019) - [i24]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. CoRR abs/1912.11688 (2019) - [i23]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Hybrid MemNet for Extractive Summarization. CoRR abs/1912.11701 (2019) - 2018
- [j17]Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma:
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction. BMC Bioinform. 19-S(8): 212:1-212:7 (2018) - [c164]Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma:
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. AAAI 2018: 5473-5480 - [c163]Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Girish Keshav Palshikar, Vasudeva Varma, Pushpak Bhattacharyya:
Identification of Alias Links among Participants in Narratives. ACL (2) 2018: 63-68 - [c162]Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops 2018 - [c161]Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta:
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. CIKM 2018: 1619-1622 - [c160]Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma:
Sci-Blogger: A Step Towards Automated Science Journalism. CIKM 2018: 1787-1790 - [c159]