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ORCIDAnand Kumar Madasamy
M. Anand Kumar – Anand Kumar M
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2020 – today
- 2025
[j19]Hariharan RamakrishnaIyer LekshmiAmmal
, Anand Kumar Madasamy:
A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers. J. Big Data 12(1): 46 (2025)- 2024
- [j18]Sharmila Devi V, S. Kannimuthu, Anand Kumar Madasamy:
The Effect of Phrase Vector Embedding in Explainable Hierarchical Attention-Based Tamil Code-Mixed Hate Speech and Intent Detection. IEEE Access 12: 11316-11329 (2024) - [j17]M. Anand Kumar, Edeh Michael Onyema, B. Sundaravadivazhagan, Manish Gupta, Achyut Shankar, Venkataramaiah Gude, Nagendar Yamsani:
Detection and mitigation of few control plane attacks in software defined network environments using deep learning algorithm. Concurr. Comput. Pract. Exp. 36(26) (2024) - [j16]Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran, Gayathri Nisha, Navyasree Balamuralidhar, Adithya Madhusoodanan, Anand Kumar Madasamy, Bharathi Raja Chakravarthi:
Overlapping word removal is all you need: revisiting data imbalance in hope speech detection. J. Exp. Theor. Artif. Intell. 36(8): 1837-1859 (2024) - [j15]Spurthy Maria Pais, Shrutilipi Bhattacharjee, Anand Kumar Madasamy, Jia Chen:
Downscaled XCO₂ Estimation Using Data Fusion and AI-Based Spatio-Temporal Models. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [c99]Gummuluri Venkata Ravi Ram, Ashinee Kesanam, Anand Kumar M:
Leveraging Physical and Semantic Features of text item for Difficulty and Response Time Prediction of USMLE Questions. BEA 2024: 534-541 - [c98]Sachin Prasanna, Abhayjit Singh Gulati, Subhojit Karmakar, M. Yoga Hiranmayi, Anand Kumar Madasamy:
Measuring the severity of the signs of Eating Disorders using Machine Learning Techniques. CLEF (Working Notes) 2024: 881-887 - [c97]Praveen K, Darshan R. K, Chinta Tejdeep Reddy, Anand Kumar M:
SCaLAR NITK at Touché: Comparative Analysis of Machine Learning Models for Human Value Identification. CLEF (Working Notes) 2024: 3407-3413 - [c96]A D. Mahit Nandan, Dhiraj Choudhary D, Ishan Godbole, Anand Kumar M:
Classifying Emotional States Through EEG-Derived Spectrograms. FG 2024: 1-5 - [c95]Siddharth Kelkar, Srinivasa Ravi, Sheela Ramanna, Anand Kumar Madasamy:
Multimodal Propaganda Detection in Memes with Tolerance-Based Soft Computing Method. IJCRS (1) 2024: 343-351 - [i14]M. Manvith Prabhu, Haricharana Srinivasa, Anand Kumar M:
Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text. CoRR abs/2403.13107 (2024) - 2023
- [j14]Ratnavel Rajalakshmi, Srivarshan Selvaraj, Faerie Mattins, Pavitra Vasudevan, Anand Kumar Madasamy:
HOTTEST: Hate and Offensive content identification in Tamil using Transformers and Enhanced STemming. Comput. Speech Lang. 78: 101464 (2023) - [j13]Anand Kumar Madasamy, Soman Kotti Padannayil:
Transfer learning based code-mixed part-of-speech tagging using character level representations for Indian languages. J. Ambient Intell. Humaniz. Comput. 14(6): 7207-7218 (2023) - [j12]Olan Pinto, Shraddha Gole, H. P. Srushti, Anand Kumar Madasamy:
Relation Extraction: Hypernymy Discovery Using a Novel Pattern Learning Algorithm. SN Comput. Sci. 4(6): 730 (2023) - [c94]Juyeon Kang, Mauli Mehulkumar Patel, Anushka Agrawal, Simhadri Sevitha, Srinivasa Ravi, Sandra Bellato, M. Anand Kumar, Ngawang Dempa Tsang, Mo El-Haj:
Advancements in Financial Document Structure Extraction: Insights from Five Years of FinTOC (2019-2023). IEEE Big Data 2023: 2839-2844 - [c93]Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar:
Representation Learning in Continuous-Time Dynamic Signed Networks. CIKM 2023: 2229-2238 - [c92]Naveen Recharla, Prasanthi Bolimera, Yash Gupta, Anand Kumar Madasamy:
Exploring Depression Symptoms through Similarity Methods in Social Media Posts. CLEF (Working Notes) 2023: 763-772 - [c91]Srinivasa Ravi, Siddharth Kelkar, Anand Kumar Madasamy:
LSTM-Attention Architecture for Online Bilingual Sexism Detection. CLEF (Working Notes) 2023: 1044-1059 - [c90]Hamna Muslihuddeen, Pallapothula Sathvika, Shalaka Sankar, Shreya Ostwal, Anand Kumar M:
Profiling Cryptocurrency Influencers using Few-shot Learning. CLEF (Working Notes) 2023: 2722-2733 - [c89]Spurthy Maria Pais, Shrutilipi Bhattacharjee, Anand Kumar Madasamy:
Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning. COMAD/CODS 2023: 243-247 - [c88]Saliq Gowhar, Bhavya Sharma, Ashutosh K. Gupta, Anand Kumar Madasamy:
Advancing Human-Like Summarization: Approaches to Text Summarization. FIRE (Working Notes) 2023: 747-754 - [c87]Jason Krithik Kumar S, Anand Kumar M:
Unsupervised KeyPhrase Extraction using Graph and Embedding Techniques. ICCCNT 2023: 1-8 - [c86]Tejaswi Hegde, Kalyane Satyam Sanjay, Swetha Mary Thomas, Ranjana Kambhammettu, M. Anand Kumar, Sheela Ramanna:
Impact of Vector Embeddings on the Performance of Tolerance Near Sets-based Sentiment Classifier for Text Classification. KES 2023: 645-654 - [c85]Patchipulusu Sindhu, Diya Gupta, Sanjeevi Meghana, Anand Kumar M:
NITK_LEGAL at SemEval-2023 Task 6: A Hierarchical based system for identification of Rhetorical Roles in legal judgements. SemEval@ACL 2023: 1154-1160 - [p4]Niteesh Kumar, Rashad Ahmed, B. H. Venkatesh, M. Anand Kumar:
An Effective Diabetic Retinopathy Detection Using Hybrid Convolutional Neural Network Models. Smart Computer Vision 2023: 295-305 - 2022
- [j11]S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan:
Medical image segmentation with 3D convolutional neural networks: A survey. Neurocomputing 493: 397-413 (2022) - [c84]Hariharan RamakrishnaIyer LekshmiAmmal, Anand Kumar Madasamy:
NITK-IT_NLP at CheckThat!-2022: Window based approach for Fake News Detection using transformers. CLEF (Working Notes) 2022: 649-655 - [c83]Sreegeethi Devaguptam, Thanmai Kogatam, Nishka Kotian, Anand Kumar M:
Early detection of depression using BERT and DeBERTa. CLEF (Working Notes) 2022: 875-882 - [c82]Sidharth Lanka, Gaurang Velingkar, Rakshita Varadarajan, M. Anand Kumar:
Image Augmentation Strategies to Train GANs with Limited Data. CVMI 2022: 441-453 - [c81]Sushil Ugursandi, Anand Kumar M:
Sentiment Analysis and Homophobia detection of YouTube comments. FIRE (Working Notes) 2022: 157-168 - [c80]Nikhil Venkat Kumsetty, Amith Bhat Nekkare, Sowmya Kamath S., Anand Kumar Madasamy:
TrashBox: Trash Detection and Classification using Quantum Transfer Learning. FRUCT 2022: 1-6 - [c79]M. Anand Kumar, A. Suresh Kumar:
A Body Area Network Approach for Stroke-Related Disease Diagnosis Using Artificial Intelligence with Deep Learning Techniques. ICACDS (1) 2022: 243-256 - [i13]Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran, Gayathri Nisha, Navyasree Balamuralidhar, Adithya Madhusoodanan, Anand Kumar Madasamy, Bharathi Raja Chakravarthi:
Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection. CoRR abs/2204.05488 (2022) - [i12]Manikandan Ravikiran, Bharathi Raja Chakravarthi, Anand Kumar Madasamy, Sangeetha Sivanesan, Ratnavel Rajalakshmi, Sajeetha Thavareesan, Rahul Ponnusamy, Shankar Mahadevan:
Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments. CoRR abs/2205.06118 (2022) - [i11]Mohit Raghavendra, Kartik Sharma, Anand Kumar M, Srijan Kumar:
Signed Link Representation in Continuous-Time Dynamic Signed Networks. CoRR abs/2207.03408 (2022) - 2021
- [j10]Divyam Mehta, Aniket Dwivedi, Arunabha Patra, M. Anand Kumar:
A transformer-based architecture for fake news classification. Soc. Netw. Anal. Min. 11(1): 39 (2021) - [c78]Hariharan RamakrishnaIyer LekshmiAmmal, Anand Kumar Madasamy:
NITK_NLP at CheckThat! 2021: Ensemble Transformer Model for Fake News Classification. CLEF (Working Notes) 2021: 603-611 - [c77]Prasanna Kumar Kumaresan, Premjith B, Ratnasingam Sakuntharaj, Sajeetha Thavareesan, Subalalitha Chinnaudayar Navaneethakrishnan, Anand Kumar Madasamy, Bharathi Raja Chakravarthi, John P. McCrae:
Findings of Shared Task on Offensive Language Identification in Tamil and Malayalam. FIRE 2021: 16-18 - [c76]Ratnavel Rajalakshmi, Faerie Mattins, Srivarshan S, Preethi Reddy, M. Anand Kumar:
Hate Speech and Offensive Content Identification in Hindi and Marathi Language Tweets using Ensemble Techniques. FIRE (Working Notes) 2021: 467-479 - [c75]Ratnavel Rajalakshmi, Srivarshan S, Faerie Mattins, Kaarthik E, Prithvi Seshadri, M. Anand Kumar:
Conversational Hate-Speech detection in Code-Mixed Hindi-English Tweets. FIRE (Working Notes) 2021: 480-490 - [c74]Bharathi Raja Chakravarthi, Prasanna Kumar Kumaresan, Ratnasingam Sakuntharaj, Anand Kumar Madasamy, Sajeetha Thavareesan, B. Premjith, Sreelakshmi K, Subalalitha Chinnaudayar Navaneethakrishnan, John P. McCrae, Thomas Mandl:
Overview of the HASOC-DravidianCodeMix Shared Task on Offensive Language Detection in Tamil and Malayalam. FIRE (Working Notes) 2021: 589-602 - [c73]Sai Srivatsa Gorti, Aadil Khalifa, Harini Thirunavukkarasan, Gayathri Nisha, M. Anand Kumar:
Smart Traffic Management System Using Multithreading and Inter-process Communication. ICCCNT 2021: 1-7 - [c72]Ayush Mangukia, Mohammed Ibrahim, Soorya Golamudi, Nishant Kumar, M. Anand Kumar:
Improved Variable Round Robin Scheduling Algorithm. ICCCNT 2021: 1-7 - [c71]Pratham Nayak, Gosu Praneeth, Rakshit Kulkarni, M. Anand Kumar:
Long Short Term Memory Networks for Lexical Normalization of Tweets. ICCCNT 2021: 1-5 - [c70]Pranav Surendran, B. Navyasree, Harshitha Kambham, M. Anand Kumar:
Covid-19 Fake News Detector using Hybrid Convolutional and Bi-LSTM Model. ICCCNT 2021: 1-6 - [c69]Richard Saldanha, Ananthanarayana V. S, Anand Kumar M, Parameswari Krishnamurthy:
NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task. WMT@EMNLP 2021: 299-303 - [i10]S. Niyas, S. J. Pawan, M. Anand Kumar, Jeny Rajan:
Medical Image Segmentation using 3D Convolutional Neural Networks: A Review. CoRR abs/2108.08467 (2021) - [i9]Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini, Anand Kumar Madasamy, Sangeetha Sivanesan, Subalalitha Chinnaudayar Navaneethakrishnan, Sajeetha Thavareesan, Dhanalakshmi Vadivel, Rahul Ponnusamy, Prasanna Kumar Kumaresan:
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages. CoRR abs/2111.03375 (2021) - 2020
- [j9]Sanjanasri J. P., M. Anand Kumar, K. P. Soman:
Deep learning-based techniques to enhance the precision of phrase-based statistical machine translation system for Indian languages. Int. J. Comput. Aided Eng. Technol. 13(1/2): 239-257 (2020) - [c68]B. R. Mukesh, Nara Madhumitha, N. Pai Aditya, Srinivas Vivek, Anand Kumar M:
Clustering Enhanced Encoder-Decoder Approach to Dimensionality Reduction and Encryption. FICTA (1) 2020: 775-783 - [c67]Thomas Mandl, Sandip Modha, Anand Kumar M, Bharathi Raja Chakravarthi:
Overview of the HASOC Track at FIRE 2020: Hate Speech and Offensive Language Identification in Tamil, Malayalam, Hindi, English and German. FIRE 2020: 29-32 - [c66]Bharathi Raja Chakravarthi, Anand Kumar M, John P. McCrae, B. Premjith, K. P. Soman, Thomas Mandl:
Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix. FIRE (Working Notes) 2020: 112-120 - [p3]G. Remmiya Devi, M. Anand Kumar, K. P. Soman:
Extraction of Named Entities from Social Media Text in Tamil Language Using N-Gram Embedding for Disaster Management. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 207-223 - [e1]Aravindan Chandrabose, Ulrich Furbach, Ashish Ghosh, Anand Kumar M:
Computational Intelligence in Data Science - Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 20-22, 2020, Revised Selected Papers. IFIP Advances in Information and Communication Technology 578, Springer 2020, ISBN 978-3-030-63466-7 [contents] - [i8]Anumeha Agrawal, Rosa Anil George, Selvan Sunitha Ravi, Sowmya Kamath Shevgoor, Anand Kumar M:
Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback. CoRR abs/2006.07909 (2020) - [i7]Akshay Khatri, Pranav P, Anand Kumar M:
Sarcasm Detection in Tweets with BERT and GloVe Embeddings. CoRR abs/2006.11512 (2020)
2010 – 2019
- 2019
- [j8]B. Premjith, M. Anand Kumar, K. P. Soman:
Neural Machine Translation System for English to Indian Language Translation Using MTIL Parallel Corpus. J. Intell. Syst. 28(3): 387-398 (2019) - [j7]S. Sachin Kumar, M. Anand Kumar, K. P. Soman:
Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing). J. Intell. Syst. 28(3): 423-435 (2019) - [j6]M. Anand Kumar, B. Premjith, Shivkaran Singh, S. Rajendran, K. P. Soman:
An Overview of the Shared Task on Machine Translation in Indian Languages (MTIL) - 2017. J. Intell. Syst. 28(3): 455-464 (2019) - [c65]Radarapu Rakesh, Yogesh Vishwakarma, Akkajosyula Surya Sai Gopal, Anand Kumar M:
Bot and Gender Identification from Twitter. CLEF (Working Notes) 2019 - [c64]Sharmila Devi V, Kannimuthu S, Ravikumar G, Anand Kumar M:
KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding. FIRE (Working Notes) 2019: 136-143 - [p2]Sujith Viswanathan, M. Anand Kumar, K. P. Soman:
A Comparative Analysis of Machine Comprehension Using Deep Learning Models in Code-Mixed Hindi Language. Recent Advances in Computational Intelligence 2019: 315-339 - [p1]B. Premjith, K. P. Soman, M. Anand Kumar, D. Jyothi Ratnam:
Embedding Linguistic Features in Word Embedding for Preposition Sense Disambiguation in English - Malayalam Machine Translation Context. Recent Advances in Computational Intelligence 2019: 341-370 - 2018
- [j5]P. V. Veena, M. Anand Kumar, K. P. Soman:
Character Embedding for Language Identification in Hindi-English Code-mixed Social Media Text. Computación y Sistemas 22(1) (2018) - [j4]K. Manjusha, M. Anand Kumar, K. P. Soman:
Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition. Int. J. Document Anal. Recognit. 21(3): 187-198 (2018) - [j3]S. Sooraj, K. Manjusha, M. Anand Kumar, K. P. Soman:
Deep learning based spell checker for Malayalam language. J. Intell. Fuzzy Syst. 34(3): 1427-1434 (2018) - [j2]Remmiya Devi G, M. Anand Kumar, K. P. Soman:
Co-occurrence based word representation for extracting named entities in Tamil tweets. J. Intell. Fuzzy Syst. 34(3): 1435-1442 (2018) - [j1]Shivkaran Singh, M. Anand Kumar, K. P. Soman:
Attention based English to Punjabi neural machine translation. J. Intell. Fuzzy Syst. 34(3): 1551-1559 (2018) - [c63]Anand Kumar M, Barathi Ganesh H. B., Soman K. P, Ajay S. G:
Indian Native Language Identification - INLI 2018. FIRE 2018: 11-15 - [c62]Barathi Ganesh H. B., Soman K. P, Reshma U, Mandar Kale, Prachi Mankame, Gouri Kulkarni, Anitha Kale, Anand Kumar M:
Information Extraction for Conversational Systems in Indian Languages - Arnekt IECSIL. FIRE 2018: 18-20 - [c61]Anand Kumar M, Barathi Ganesh H. B., Ajay S. G, Soman K. P:
Overview of the second shared task on Indian Native Language Identification (INLI). FIRE (Working Notes) 2018: 39-50 - [c60]Barathi Ganesh H. B., Soman K. P, Reshma U, Mandar Kale, Prachi Mankame, Gouri Kulkarni, Anitha Kale, Anand Kumar M:
Overview of Arnekt IECSIL at FIRE-2018 Track on Information Extraction for Conversational Systems in Indian Languages. FIRE (Working Notes) 2018: 119-128 - [c59]Sharmila Devi V, S. Kannimuthu, Ravikumar G, Anand Kumar M:
KCE_DAlab@MAPonSMS-FIRE2018: Effective word and character-based features for Multilingual Author Profiling. FIRE (Working Notes) 2018: 213-222 - [c58]Shalini K, Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
Sentiment Analysis for Code-Mixed Indian Social Media Text With Distributed Representation. ICACCI 2018: 1126-1131 - [c57]Nidhin A. Unnithan, Shalini K, Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets. SemEval@NAACL-HLT 2018: 319-323 - [c56]Naveen J. R, Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
CENNLP at SemEval-2018 Task 1: Constrained Vector Space Model in Affects in Tweets. SemEval@NAACL-HLT 2018: 329-333 - [c55]Anon George, Barathi Ganesh H. B., Anand Kumar M, Soman K. P:
TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection. SemEval@NAACL-HLT 2018: 334-338 - [c54]Naveen J. R, Hariharan V, Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
CENNLP at SemEval-2018 Task 2: Enhanced Distributed Representation of Text using Target Classes for Emoji Prediction Representation. SemEval@NAACL-HLT 2018: 486-490 - [c53]Vivek Vinayan, M. Anand Kumar, Soman K. P:
AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation. SemEval@NAACL-HLT 2018: 1003-1007 - [i6]R. Vinayakumar, Barathi Ganesh HB, Prabaharan Poornachandran, Anand Kumar M, Soman K. P:
Deep-Net: Deep Neural Network for Cyber Security Use Cases. CoRR abs/1812.03519 (2018) - 2017
- [c52]Barathi Ganesh H. B., R. Vinayakumar, M. Anand Kumar, K. P. Soman:
NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings. SMM4H@AMIA 2017: 79-82 - [c51]Vivek Vinayan, Naveen J. R, Harikrishnan N. B., M. Anand Kumar, Soman K. P:
AmritaNLP@PAN-RusProfiling : Author Profiling using Machine Learning Techniques. FIRE (Working Notes) 2017: 8-12 - [c50]Barathi Ganesh H. B., Reshma U, M. Anand Kumar, Soman K. P:
Representation of Target Classes for Text Classification - AMRITA_CEN_NLP@RusProfiling PAN 2017. FIRE (Working Notes) 2017: 25-27 - [c49]Barathi Ganesh H. B., Reshma U, M. Anand Kumar, Soman K. P:
Distributed Representation in Information Retrieval - AMRITA_CEN_NLP@IRLeD 2017. FIRE (Working Notes) 2017: 69-71 - [c48]M. Anand Kumar, Barathi Ganesh H. B., Shivkaran Singh, Soman K. P, Paolo Rosso:
Overview of the INLI PAN at FIRE-2017 Track on Indian Native Language Identification. FIRE (Working Notes) 2017: 99-105 - [c47]Sharmila Devi V, S. Kannimuthu, Safeeq G, Anand Kumar M:
KEC_DAlab @ EventXtract-IL-FIRE2017: Event Extraction using Support Vector Machines. FIRE (Working Notes) 2017: 144-146 - [c46]M. Anand Kumar, C. Vidya Raj:
On designing lightweight qos routing protocol for delay-sensitive wireless body area networks. ICACCI 2017: 740-744 - [c45]R. Praveena, M. Anand Kumar, K. P. Soman:
Chunking based malayalam paraphrase identification using unfolding recursive autoencoders. ICACCI 2017: 922-928 - [c44]Kavirajan B, M. Anand Kumar, K. P. Soman, S. Rajendran, S. Vaithehi:
Improving the rule based machine translation system using sentence simplification (english to tamil). ICACCI 2017: 957-963 - [c43]Srinidhi Skanda V, M. Anand Kumar, K. P. Soman:
Detecting stance in kannada social media code-mixed text using sentence embedding. ICACCI 2017: 964-969 - [c42]P. V. Veena, M. Anand Kumar, K. P. Soman:
An effective way of word-level language identification for code-mixed facebook comments using word-embedding via character-embedding. ICACCI 2017: 1552-1556 - [c41]C. Sankaralingam, S. Rajendran, B. Kavirajan, M. Anand Kumar, K. P. Soman:
Onto-thesaurus for tamil language: Ontology based intelligent system for information retrieval. ICACCI 2017: 2396 - [c40]S. Sachin Kumar, M. Anand Kumar, K. P. Soman:
Sentiment Analysis of Tweets in Malayalam Using Long Short-Term Memory Units and Convolutional Neural Nets. MIKE 2017: 320-334 - [c39]K. Manjusha, M. Anand Kumar, K. P. Soman:
Scattering representation in Malayalam character recognition. NCC 2017: 1-5 - [i5]Vijay Krishna Menon, S. Rajendran, M. Anand Kumar, K. P. Soman:
Dependency resolution and semantic mining using Tree Adjoining Grammars for Tamil Language. CoRR abs/1704.05611 (2017) - [i4]Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
Vector Space Model as Cognitive Space for Text Classification. CoRR abs/1708.06068 (2017) - [i3]R. Vinayakumar, Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
Deep Health Care Text Classification. CoRR abs/1710.08396 (2017) - 2016
- [c38]Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
Statistical Semantics in Context Space : Amrita_CEN@Author Profiling. CLEF (Working Notes) 2016: 881-889 - [c37]Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
From Vector Space Models to Vector Space Models of Semantics. FIRE Workshop 2016: 50-60 - [c36]M. Anand Kumar, Soman K. P:
Amrita-CEN@MSIR-FIRE2016: Code-Mixed Question Classification using BoWs and RNN Embeddings. FIRE (Working Notes) 2016: 122-125 - [c35]Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
Distributional Semantic Representation for Text Classification and Information Retrieval. FIRE (Working Notes) 2016: 126-130 - [c34]M. Anand Kumar, Shivkaran Singh, B. Kavirajan, K. P. Soman:
Shared Task on Detecting Paraphrases in Indian Languages (DPIL): An Overview. FIRE Workshop 2016: 128-140 - [c33]Shivkaran Singh, M. Anand Kumar, Soman K. P:
CEN@Amrita: Information Retrieval on CodeMixed Hindi-English Tweets Using Vector Space Models. FIRE (Working Notes) 2016: 131-134 - [c32]Veena P. V, Remmiya Devi G, M. Anand Kumar, Soman K. P:
AMRITA _CEN@FIRE 2016: Consumer Health Information Search using Keyword and Word Embedding Features. FIRE (Working Notes) 2016: 197-200 - [c31]Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
Distributional Semantic Representation in Health Care Text Classification. FIRE (Working Notes) 2016: 201-204 - [c30]Remmiya Devi G, P. V. Veena, M. Anand Kumar, K. P. Soman:
Entity Extraction of Hindi-English and Tamil-English Code-Mixed Social Media Text. FIRE Workshop 2016: 206-218 - [c29]M. Anand Kumar, Shivkaran Singh, Kavirajan B, Soman K. P:
DPIL@FIRE2016: Overview of the Shared task on Detecting Paraphrases in Indian language. FIRE (Working Notes) 2016: 233-238 - [c28]Remmiya Devi G, Veena P. V, M. Anand Kumar, Soman K. P:
AMRITA_CEN@FIRE 2016: Code-Mix Entity Extraction for Hindi-English and Tamil-English Tweets. FIRE (Working Notes) 2016: 304-308 - [c27]Barathi Ganesh H. B., M. Anand Kumar, Soman K. P:
Conditional Random Fields for Code Mixed Entity Recognition. FIRE (Working Notes) 2016: 309-312 - [c26]Srinidhi Skanda V, Shivkaran Singh, Remmiya Devi G, Veena P. V, M. Anand Kumar, Soman K. P:
CEN@Amrita FIRE 2016: Context based Character Embeddings for Entity Extraction in Code-Mixed Text. FIRE (Working Notes) 2016: 321-324 - [c25]Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
Amrita_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension. SemEval@NAACL-HLT 2016: 706-711 - [c24]Sanjay S. P., Anand Kumar M, K. P. Soman:
AmritaCEN at SemEval-2016 Task 11: Complex Word Identification using Word Embedding. SemEval@NAACL-HLT 2016: 1022-1027 - [i2]Vijay Krishna Menon, S. Rajendran, M. Anand Kumar, K. P. Soman:
A new TAG Formalism for Tamil and Parser Analytics. CoRR abs/1604.01235 (2016) - 2015
- [c23]Rahul Venkatesh Kumar, M. Anand Kumar, K. P. Soman:
AmritaCEN_NLP @ FIRE 2015 Language Identification for Indian Languages in Social Media Text. FIRE Workshops 2015: 26-28 - [c22]Sanjay S. P., Nivedhitha Ezhilarasan, M. Anand Kumar, K. P. Soman:
AMRITA-CEN@FIRE2015: Automated Story Illustration using Word Embedding. FIRE Workshops 2015: 67-70 - [c21]M. Anand Kumar, Shriya Se, K. P. Soman:
AMRITA_CEN @ FIRE 2015: Extracting Entities for Social Media Texts in Indian Languages. FIRE Workshops 2015: 85-88 - [c20]Sanjay S. P., M. Anand Kumar, K. P. Soman:
AMRITA_CEN-NLP@FIRE 2015: CRF Based Named Entity Extractor For Twitter Microposts. FIRE Workshops 2015: 96-99 - [c19]Barathi Ganesh H. B., Reshma U, M. Anand Kumar:
Author identification based on word distribution in word space. ICACCI 2015: 1519-1523 - [c18]Sanjanasri J. P., M. Anand Kumar:
A computational framework for Tamil document classification using Random Kitchen Sink. ICACCI 2015: 1571-1577 - [c17]S. Sachin Kumar, B. Premjith, M. Anand Kumar, K. P. Soman:
AMRITA_CEN-NLP@SAIL2015: Sentiment Analysis in Indian Language Using Regularized Least Square Approach with Randomized Feature Learning. MIKE 2015: 671-683 - [c16]Shriya Se, R. Vinayakumar, M. Anand Kumar, K. P. Soman:
AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages. MIKE 2015: 703-710 - [c15]Barathi Ganesh H. B., Abinaya N., M. Anand Kumar, Vinaykumar R., K. P. Soman:
AMRITA - CEN@NEEL: Identification and Linking of Twitter Entities. #MSM 2015: 64-65 - [c14]Mahalakshmi Shanumuga Sundaram, Anand Kumar Madasamy, Soman Kotti Padannayil:
AMRITA_CEN$@$SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders. SemEval@NAACL-HLT 2015: 45-50 - 2014
- [c13]N. Abinaya, Neethu John, Barathi H. B. Ganesh, M. Anand Kumar, K. P. Soman:
AMRITA_CEN@FIRE-2014: Named Entity Recognition for Indian Languages using Rich Features. FIRE 2014: 103-111 - [c12]Anand Kumar M, K. P. Soman:
AMRITA_CEN@FIRE-2014: Morpheme Extraction and Lemmatization for Tamil using Machine Learning. FIRE 2014: 112-120 - [c11]Anuja Aravind, Anand Kumar M:
Machine learning approach for correcting preposition errors using SVD features. ICACCI 2014: 1731-1736 - [c10]Sanjanaashree P, Anand Kumar M:
Joint layer based deep learning framework for bilingual machine transliteration. ICACCI 2014: 1737-1743 - [i1]M. Anand Kumar, V. Dhanalakshmi, K. P. Soman, V. Sharmiladevi:
Improving the Performance of English-Tamil Statistical Machine Translation System using Source-Side Pre-Processing. CoRR abs/1409.8581 (2014) - 2012
- [c9]Siddharth S. Rautaray, Anand Kumar M, Anupam Agrawal:
Human Computer Interaction with Hand Gestures in Virtual Environment. PerMIn 2012: 106-113 - 2011
- [c8]R. Dhivya, V. Dhanalakshmi, M. Anand Kumar, K. P. Soman:
Clause Boundary Identification for Tamil Language Using Dependency Parsing. SPIT/IPC 2011: 195-197 - [c7]S. Keerthana, V. Dhanalakshmi, M. Anand Kumar, V. P. Ajith, K. P. Soman:
Tamil to Hindi Machine Transliteration Using Support Vector Machines. SPIT/IPC 2011: 262-264 - 2010
- [c6]R. U. Rekha, M. Anand Kumar, V. Dhanalakshmi, K. P. Soman, S. Rajendran:
A Novel Approach to Morphological Generator for Tamil. ICDEM 2010: 249-251 - [c5]V. P. Abeera, S. Aparna, R. U. Rekha, M. Anand Kumar, V. Dhanalakshmi, K. P. Soman, S. Rajendran:
Morphological Analyzer for Malayalam Using Machine Learning. ICDEM 2010: 252-254 - [c4]G. Sai Kiranmai, K. Mallika, M. Anand Kumar, V. Dhanalakshmi, K. P. Soman:
Morphological Analyzer for Telugu Using Support Vector Machine. ICT 2010: 430-433 - [c3]V. Dhanalakshmi, M. Anand Kumar, R. U. Rekha, K. P. Soman, S. Rajendran:
Grammar Teaching Tools for Tamil language. T4E 2010: 85-88
2000 – 2009
- 2009
- [c2]V. Dhanalakshmi, M. Anand Kumar, R. U. Rekha, C. Arun Kumar, K. P. Soman, S. Rajendran:
Morphological Analyzer for Agglutinative Languages Using Machine Learning Approaches. ARTCom 2009: 433-435 - [c1]V. Dhanalakshmi, P. Padmavathy, M. Anand Kumar, K. P. Soman, S. Rajendran:
Chunker for Tamil. ARTCom 2009: 436-438
Coauthor Index
Barathi Ganesh H. B.
aka: Barathi H. B. Ganesh
aka: Barathi H. B. Ganesh
[j13] [j9] [c66] [p3] [j8] [j7] [j6] [p2] [p1] [j5] [j4] [j3] [j2] [j1] [c63] [c62] [c61] [c60] [c58] [c57] [c56] [c55] [c54] [c53] [i6] [c52] [c51] [c50] [c49] [c48] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i5] [i4] [i3] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i2] [c23] [c22] [c21] [c20] [c17] [c16] [c15] [c14] [c13] [c12] [i1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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