The CHEMDNER corpus of chemicals and drugs and its annotation principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of cheminformatics 7 (1), 1-17, 2015 | 202 | 2015 |
How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes] MS Akhtar, A Ekbal, E Cambria IEEE Computational Intelligence Magazine 15 (1), 64-75, 2020 | 151 | 2020 |
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis MS Akhtar, D Gupta, A Ekbal, P Bhattacharyya Knowledge-Based Systems 125, 116-135, 2017 | 142 | 2017 |
Named entity recognition using support vector machine: A language independent approach A Ekbal, S Bandyopadhyay International Journal of Electrical, Computer, and Systems Engineering 4 (2 …, 2010 | 137 | 2010 |
Bengali named entity recognition using support vector machine A Ekbal, S Bandyopadhyay Proceedings of the IJCNLP-08 workshop on named entity recognition for south …, 2008 | 123 | 2008 |
Fighting an infodemic: Covid-19 fake news dataset P Patwa, S Sharma, S Pykl, V Guptha, G Kumari, MS Akhtar, A Ekbal, ... International Workshop on Combating On line Ho st ile Posts in Regional …, 2021 | 116 | 2021 |
Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition S Saha, A Ekbal Data & Knowledge Engineering 85, 15-39, 2013 | 113 | 2013 |
Language independent named entity recognition in indian languages A Ekbal, R Haque, A Das, V Poka, S Bandyopadhyay Proceedings of the IJCNLP-08 Workshop on Named Entity Recognition for South …, 2008 | 97 | 2008 |
A hybrid deep learning architecture for sentiment analysis MS Akhtar, A Kumar, A Ekbal, P Bhattacharyya Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 90 | 2016 |
Bengali part of speech tagging using conditional random field A Ekbal, R Haque, S Bandyopadhyay Proceedings of seventh international symposium on natural language …, 2007 | 86 | 2007 |
A modified joint source-channel model for transliteration A Ekbal, SK Naskar, S Bandyopadhyay Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 191-198, 2006 | 83 | 2006 |
A web-based Bengali news corpus for named entity recognition A Ekbal, S Bandyopadhyay Language Resources and Evaluation 42 (2), 173-182, 2008 | 81 | 2008 |
A conditional random field approach for named entity recognition in Bengali and Hindi A Ekbal, S Bandyopadhyay Linguistic Issues in Language Technology 2, 2009 | 78 | 2009 |
Part of speech tagging in bengali using support vector machine A Ekbal, S Bandyopadhyay 2008 International Conference on Information Technology, 106-111, 2008 | 76 | 2008 |
Contextual inter-modal attention for multi-modal sentiment analysis D Ghosal, MS Akhtar, D Chauhan, S Poria, A Ekbal, P Bhattacharyya proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 75 | 2018 |
Multi-task learning for multi-modal emotion recognition and sentiment analysis MS Akhtar, DS Chauhan, D Ghosal, S Poria, A Ekbal, P Bhattacharyya arXiv preprint arXiv:1905.05812, 2019 | 71 | 2019 |
Weighted vote-based classifier ensemble for named entity recognition: a genetic algorithm-based approach A Ekbal, S Saha ACM Transactions on Asian Language Information Processing (TALIP) 10 (2), 1-37, 2011 | 71 | 2011 |
IARM: Inter-aspect relation modeling with memory networks in aspect-based sentiment analysis N Majumder, S Poria, A Gelbukh, MS Akhtar, E Cambria, A Ekbal Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 69 | 2018 |
Iit-tuda at semeval-2016 task 5: Beyond sentiment lexicon: Combining domain dependency and distributional semantics features for aspect based sentiment analysis A Kumar, S Kohail, A Kumar, A Ekbal, C Biemann Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 67 | 2016 |
Aspect based sentiment analysis in Hindi: Resource creation and evaluation MS Akhtar, A Ekbal, P Bhattacharyya Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 66 | 2016 |