| 2022 |
|---|
| 57 | D. Chauhan, G. Singh, A. Ekbal and P. Bhattacharyya (2022). An Emoji-aware Multitask Framework for Multimodal Sarcasm Detection. Knowledge based System, Elsevier |
| 56 | G. Singh, M. Firdaus, A. Ekbal and P. Bhattacharyya (2022). T-ASL-09092-2022. EmoInt-Trans: A Multimodal Transformer for Identifying Emotions and Intents in Social Conversations. In IEEE Transaction on Audio, Speech and Language Processing (TASL) |
| 55 | T. Saikh, T. Ghosal, A. Mittal, A. Ekbal and P. Bhattacharya (2022). ScienceQA: A Novel Benchmark Resource for Question Answering on Scholarly Articles. International Journal on Digital Libraries (IJDL).(accepted) |
| 54 | M. Firdaus, N. Thangavelu, A. Ekbal and P. Bhattacharyya (2022). I enjoy writing and playing, do you?: A Personalized and Emotion Grounded Dialogue Agent using Generative Adversarial Network. IEEE Transaction on Affective Computing, IEEE.(accepted) |
| 53 | Mamta, A. Ekbal, P. Bhattacharyya (2022). Exploring Multi-lingual, Multi-task and Adversarial Learning for Low-resource Sentiment Analysis. ACM Transaction on Asian and Low-resource Language Information Processing (ACM TALLIP).(accepted) |
| 52 | Zishan Ahmad, Vinnakota Sai Sujeeth, Asif Ekbal (2022). Zero-Shot Hate to Non-Hate Text Conversion Using Lexical Constraints. IEEE Transactions on Computational Social Systems.(accepted) |
| 51 | K. Mishra, M. Firdaus, A. Ekbal (2022). Predicting Politeness Variations in Goal-Oriented Conversations. IEEE Transaction on Computational Social Systems.(accepted) |
| 50 | Z. Ahmad, R. Jindal, Mukuntha NS, A. Ekbal and P. Bhattacharyya (2022). Multi-modality helps in Crisis Management: An Attention-based Deep Learning approach of leveraging Text for Image Classification. Expert System with Application, Elsevier. 195, 116626. |
| 49 | Kshitij Mishra, Mauajama Firdaus, and Asif Ekbal (2022). Please be Polite: Towards building a Politeness Adaptive Dialogue System for Goal-oriented Conversations. Neurocomputing, Elsevier. 494, 242-254. |
| 48 | G. Singh, M. Firdaus, Shamvabi, S. Mishra, A. Ekbal (2022). Knowing What to Say: Towards Knowledge grounded Code-Mixed Response Generation for Open-Domain Conversations, Knowledge-Based Systems, Elsevier. 249, 108900. |
| 47 | S. Ghosh, A. Ekbal and P. Bhattacharyya (2022). Deep Cascaded Multitask Framework for Detection of Temporal Orientation, Sentiment and Emotion from Suicide Notes. Scientific Reports, Nature Publishing Group. 12(1), 1-16. |
| 46 | Tirthankar Ghosal, Sandeep Kumar, Prabhat Kumar Bharti, Asif Ekbal (2022). Peer Review Analyze: A Novel Benchmark Resource for Computational Analysis of Peer Reviews. PloS One. 7(1), e0259238. |
| 45 | Tirthankar Ghosal, Tanik Saikh, Tameesh Biswas, Asif Ekbal, and Pushpak Bhattacharyya (2022). Novelty Detection: A Perspective from Natural Language Processing. Computational Linguistics, MIT Press 48(1), 77-117. |
| 44 | Rina Kumari, Nischal Ashok, Tirthankar Ghosal, Asif Ekbal (2022). What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion. Information Processing & Management 59(1), 102740 |
| 2021 |
|---|
| 43 | Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2021), What Does Your Bio Say? Inferring Twitter Users' Depression Status From Multimodal Profile Information Using Deep Learning, IEEE Transactions on Computational Social Systems. |
| 42 | A. Dey, D. Bandyopadhyay, B. Gain, A. Ekbal (2021). A Transformer Based Approach to Multilingual Fake News Detection in Low-resource Languages. In ACM Transaction on Asian and Low-resource Languages (ACM TALLIP) 21(1), 1-20. |
| 41 | D. Kumari, R. Haque, A. Ekbal, P. Bhattacharyya, A. Way (2021). Re-inforced NMT for Sentiment and Content Preservation in Low-resource Scenario. In ACM Transaction on Asian and Low-resource Languages (ACM TALLIP), Vol. 70, pp 1–27. |
| 40 | R. Kumari, Nischal A, T. Ghosal and A. Ekbal (2021). Misinformation detection using multi-task learning with mutual learning for novelty detection and emotion recognition. In Information Processing and Management (IPM), 58(5):102631, 2021, Elsevier |
| 39 | R. Kumari and A. Ekbal (2021). AMFB: Attention based Multi-modal Factorized Bilinear Pooling for Multi-modal Fake News Detection. Expert Systems with Applications, Elsevier, https://doi.org/10.1016/j.eswa.2021.115412. |
| 38 | Deepak Gupta, Swati Suman, Asif Ekbal (2021). Hierarchical deep multi-modal network for medical visual question answering. Expert Syst. Appl. 164: 113993 (2021), Elsevier |
| 37 | M Firdaus, N Thakur, A Ekbal (2021). Aspect-Aware Response Generation for Multimodal Dialogue System. ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-33 |
| 36 | Sukanta Sen, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya, Andy Way (2021). Neural machine translation of low-resource languages using SMT phrase pair injection. Nat. Lang. Eng. 27(3): 271-292 (2021) |
| 35 | Mauajama Firdaus, Hitesh Golchha, Asif Ekbal, Pushpak Bhattacharyya (2021). A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling. Cogn. Comput. 13(3): 626-645 (2021) |
| 2020 |
|---|
| 34 | M. Firdaus, A.P Shandilya and A. Ekbal (2020). More to Diverse: Generating Diversified Responses in a Task Oriented Multimodal Dialog System. PLosONE |
| 33 | S Yadav, S Ramesh, S Saha, A Ekbal (2020). Relation extraction from biomedical and clinical text: Unified multitask learning framework. IEEE/ACM Transactions on Computational Biology and Bioinformatics. |
| 32 | S Yadav, P Ramteke, A Ekbal, S Saha, P Bhattacharyya (2020). Exploring Disorder-Aware Attention for Clinical Event Extraction. ACM Transactions on Multimedia Computing, Communications, and Applications. https://doi.org/10.1145/3372328 |
| 31 | M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System (2020). IEEE Transactions on Affective Computing, 10.1109/TAFFC.2020.3015491. |
| 30 | Md Shad Akhtar, Deepanway Ghoshal, Asif Ekbal, Pushpak Bhattacharyya and Sadao Kurohashi (2020). All-in-One: Emotion, Sentiment and Intensity Prediction in a Multi-task Ensemble Framework. IEEE Transaction on Affective Computing (IEEE-TAC), 10.1109/TAFFC.2019.2926724. |
| 29 | S. Akhtar, T. Garg, A. Ekbal (2020). Multi-task Learning for Aspect Term Extraction and and Sentiment Classification. In Neurocomputing, Elsevier, 398: 247-256 (2020). |
| 28 | Prashant Kapil, Asif Ekbal (2020). A deep neural network based multi-task learning approach to hate speech detection. Knowl. Based Syst. 210: 106458 (2020) |
| 27 | S. Kamila, M. Hasanuzzaman, A. Ekbal and P. Bhattacharyya (2020). Resolution of grammatical tense into actual time, and its application in Time Perspective study in the tweet space. PLOS ONE, https://doi.org/10.1371/journal.pone.0211872. |
| 26 | Akhtar, M.S., Ekbal, A., Cambria, E. (2020). How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble. IEEE Computational Intelligence, 15( 1 ), 64 - 75 , 2020 , 10.1109/MCI.2019.2954667. |
| 25 | T. Ghosal V. Edithal, A. Ekbal, P. Bhattacharyya, S. Chivukula, G. Tsatsaroni (2020). Is Your Document Novel? Let Attention Guide You. An Attention Based Model For Document Level Novelty Detection. Natural Language Engineering Journal, Cambridge University Press. |
| 24 | S. Akhtar, D. Chauhan, A. Ekbal (2020). A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis. ACM Transaction on Knowledge Discovery from Data, 14(3), 32:1-32. |
| 23 | S. Kamila, M. Hasanuzzaman, A. Ekbal and P. Bhattacharyya (2020). Measuring Temporal Distance Focus from Tweets and Investigating its Association with Psycho-demographic Attributes. IEEE Transaction on Affective Computing (IEEE-TAC), IEEE. |
| 22 | D. Gupta, A. Ekbal and P. Bhattacharyya (2020). A Deep Neural Network Framework for English Hindi Question Answering. ACM Trans. Asian & Low-Resource Lang. Inf. Processing, 19(2): 25:1-25:22 (2020). |
| 21 | Akhtar, M.S., Ekbal, A., Cambria, E. (2020) How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble, IEEE Computational Intelligence, 15( 1 ), 64 - 75 , 2020 , 10.1109/MCI.2019.2954667 |
| 2019 |
|---|
| 20 | M. Firdaus, A. Kumar, A. Ekbal and P. Bhattacharyya (2019). A Multi-task Hierarchical Approach for Intent Detection and Slot Filling. Knowledge based Systems, Elsevier, ttps://doi.org/10.1016/j.knosys.2019.07.017. |
| 19 | Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, Siddhartha Bhattacharyya (2019). Assembling translations from multi-engine machine translation outputs. Appl. Soft Comput. 78: 230-239 (2019) |
| 18 | Shweta Yadav, Asif Ekbal, Sriparna Saha (2019). Information theoretic-PSO-based feature selection: an application in biomedical entity extraction. Knowl. Inf. Syst. 60(3): 1453-1478 (2019) |
| 17 | Shweta Yadav, Asif Ekbal, Sriparna Saha, Ankit Kumar, Pushpak Bhattacharyya (2019). Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein-protein interaction. Knowl. Based Syst. 166: 18-29. |
| 16 | Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya (2019). Improving Word Embedding Coverage in Less-Resourced Languages Through Multi-Linguality and Cross-Linguality: A Case Study with Aspect-Based Sentiment Analysis. ACM Trans. Asian & Low-Resource Lang. Inf. Process. 18(2): 15:1-15:22. |
| 15 | Sabyasachi Kamila, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya (2019). Tempo-HindiWordNet: A Lexical Knowledge-base for Temporal Information Processing. ACM Trans. Asian & Low-Resource Lang. Inf. Process. 18(2): 19:1-19:22 |
| 2018 |
|---|
| 14 | Shweta Yadav and Asif Ekbal and Sriparna Saha (2018). Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach.Soft Comput. vol. 22. pp. 6881-6904. |
| 13 | Md. Shad Akhtar, Asif Ekbal, Sunny Narayan, Vikram Singh (2018). No, That Never Happened!! Investigating Rumors on Twitter. IEEE Intell. Syst. 33(5): 8-15 (2018) |
| 2017 |
|---|
| 12 | Akhtar, M.S., Gupta, D., Ekbal, A. and Bhattacharyya, P., (2017). Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis. Knowledge-Based Systems, 125, pp.116-135. |
| 2016 |
|---|
| 11 | Asif Ekbal, Sriparna Saha, Utpal Kumar Sikdar (2016). On active annotation for named entity recognition. In proceedings of Int. J. Machine Learning & Cybernetics. vol. 7(4). pp. 623-640. |
| 10 | Asif Ekbal, and Sriparna Saha (2016). Simultaneous feature and parameter selection using multiobjective optimization: application to named entity recognition. International Journal of Machine Learning and Cybernetics 7, no. 4 (2016): 597-611. |
| 2015 |
|---|
| 9 | Asif Ekbal and Sriparna Saha (2015). Joint model for feature selection and parameter optimization coupled with classifier ensemble in chemical mention recognition. Knowledge Based Systems, Elsevier, Vol. 85: 37-51. |
| 8 | Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha, Olga Uryupina, Massimo Poesio (2015). Differential evolution-based feature selection technique for anaphora resolution. Soft computing. vol. 19(8). pp. 2149-2161. |
| 7 | Utpal Kumar Sikdar, Asif Ekbal, Sriparna Saha (2015). Differential evolution-based feature selection technique for anaphora resolution. Soft computing. vol. 19(12). pp. 3529-3549. |
| 2012 |
|---|
| 6 | Asif Ekbal, Sriparna Saha (2012). Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition. International Journal on Document Analysis and Recognition (IJDAR). vol. 15(2). pp. 143-166. |
| 2011 |
|---|
| 5 | A.Ekbal and S. Saha (2011). Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach. ACM Transactions on Asian Language Information Processing (ACM TALIP), Vol. 2(9), ACM, DOI = 10.1145/1967293.1967296 http://doi.acm.org/10.1145/1967293.1967296. |
| 4 | Asif Ekbal, Sriparna Saha (2011). A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies. Expert System with Application, Elsevier, vol. 38(12). pp. 14760-14772. |
| 3 | Asif Ekbal, Francesca Bonin, Sriparna Saha, Egon Stemle, Eduard Barbu, Fabio Cavulli, Christian Girardi, Massimo Poesio (2011). Rapid Adaptation of NE Resolvers for Humanities Domains using Active Annotation. Journal for Language Technology and Computational Linguistics. vol. 26(2). pp. 39-51. |
| 2009 |
|---|
| 2 | Ekbal, Asif, Sudip Kumar Naskar and Sivaji Bandyopadhyay (2009). Named Entity Recognition and transliteration in Bengali. In Named Entities: Recognition, classification and use, 97–116, John Benjamins Publishing (special issue on NER) |
| 2008 |
|---|
| 1 | Asif Ekbal, Sivaji Bandyopadhyay (2008). A web-based Bengali news corpus for named entity recognition. Lang. Resour. Evaluation 42(2): 173-182 (2008) |
