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Asif Ekbal
Asif Ekbal
Department of Computer Science and Engineering, IIT Patna, India
Verifisert e-postadresse på iitp.ac.in - Startside
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Fighting an infodemic: Covid-19 fake news dataset
P Patwa, S Sharma, S Pykl, V Guptha, G Kumari, MS Akhtar, A Ekbal, ...
Combating Online Hostile Posts in Regional Languages during Emergency …, 2021
3802021
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, 1-17, 2015
3282015
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
2202020
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
2082017
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
1852019
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
1752018
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
1612010
Named entity recognition in Bengali and Hindi using support vector machine
A Ekbal, S Bandyopadhyay
Lingvisticæ Investigationes 34 (1), 35-67, 2011
1472011
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
1432016
Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition
S Saha, A Ekbal
Data & Knowledge Engineering 85, 15-39, 2013
1322013
A deep neural network based multi-task learning approach to hate speech detection
P Kapil, A Ekbal
Knowledge-Based Systems 210, 106458, 2020
1192020
Overview of constraint 2021 shared tasks: Detecting english covid-19 fake news and hindi hostile posts
P Patwa, M Bhardwaj, V Guptha, G Kumari, S Sharma, S Pykl, A Das, ...
Combating Online Hostile Posts in Regional Languages during Emergency …, 2021
1122021
Sentiment and emotion help sarcasm? A multi-task learning framework for multi-modal sarcasm, sentiment and emotion analysis
DS Chauhan, SR Dhanush, A Ekbal, P Bhattacharyya
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
1112020
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
1072018
A multilayer perceptron based ensemble technique for fine-grained financial sentiment analysis
MS Akhtar, A Kumar, D Ghosal, A Ekbal, P Bhattacharyya
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
1062017
A deep ensemble framework for fake news detection and classification
A Roy, K Basak, A Ekbal, P Bhattacharyya
arXiv preprint arXiv:1811.04670, 2018
1042018
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
1042008
Bengali part of speech tagging using conditional random field
A Ekbal, R Haque, S Bandyopadhyay
Proceedings of seventh international symposium on natural language …, 2007
1042007
Medical sentiment analysis using social media: towards building a patient assisted system
S Yadav, A Ekbal, S Saha, P Bhattacharyya
Proceedings of the eleventh international conference on language resources …, 2018
992018
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework
MS Akhtar, D Ghosal, A Ekbal, P Bhattacharyya, S Kurohashi
IEEE transactions on affective computing 13 (1), 285-297, 2019
972019
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Artikler 1–20