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Asif Ekbal
Asif Ekbal
Department of Computer Science and Engineering, IIT Patna, India
Bestätigte E-Mail-Adresse bei iitp.ac.in
Titel
Zitiert von
Zitiert von
Jahr
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
2132015
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
1622020
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
1542017
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
1472021
Named entity recognition using support vector machine: A language independent approach
A Ekbal, S Bandyopadhyay
International Journal of Electrical and Computer Engineering 4 (3), 589-604, 2010
1392010
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
1252008
Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition
S Saha, A Ekbal
Data & Knowledge Engineering 85, 15-39, 2013
1122013
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
972008
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
952016
Bengali part of speech tagging using conditional random field
A Ekbal, R Haque, S Bandyopadhyay
Proceedings of seventh international symposium on natural language …, 2007
902007
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
832006
A web-based Bengali news corpus for named entity recognition
A Ekbal, S Bandyopadhyay
Language Resources and Evaluation 42 (2), 173-182, 2008
822008
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
812018
A conditional random field approach for named entity recognition in Bengali and Hindi
A Ekbal, S Bandyopadhyay
Linguistic Issues in Language Technology 2, 2009
802009
Part of speech tagging in bengali using support vector machine
A Ekbal, S Bandyopadhyay
2008 International Conference on Information Technology, 106-111, 2008
782008
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
732019
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
732016
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
722018
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
712011
Named entity recognition in Bengali: A conditional random field approach
A Ekbal, R Haque, S Bandyopadhyay
Proceedings of the Third International Joint Conference on Natural Language …, 2008
702008
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