Journals

2026 9 papers
  • D. Bandyopadhyay and A. Ekbal When Can We Trust the Sparse Lens? A Certification Framework for SAE Faithfulness Transactions of the Association for Computational Linguistics (TACL) 2026
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  • B. Gain, T. N. Singh, and A. Ekbal One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging Transactions of the Association for Computational Linguistics (TACL) 2026
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  • D. Bandyopadhyay, S. Bhattacharyya, M. Hasanuzzaman, A. Ekbal CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation Transaction of ACL (TACL) 2026
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  • B. Gain, S. Dana, U. Sharma, A. K. Mondal, P. AP, D. Garg, A. Singhee, and A. Ekbal Task-Aware Model Merging via Fisher-Weighted Median Transactions on Machine Learning Research (TMLR) 2026
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  • G. V. Singh, A. Phukan, K. Kanwar, and A. Ekbal SAMAT: A Stereotype-Aware Multimodal Transformer for Interpretable Misogynistic Meme Detection, Accepted by TMLR 2026
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  • A. Ghosh, D. Das, and A. Ekbal CauFR-TS: Causal Time-Series Identifiability via Factorized Representations (TMLR) 2026
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  • R Appicharla, SK Jha, A Ekbal, P Bhattacharyya Maithilimt: Developing Multi-Domain Parallel Corpus for Hindi-Maithili Machine Translation Language Resources and Evaluation (LRE), Springer
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  • PK Bharti, M Panchal, V Dalal, M Agarwal, A Ekbal Not all peer reviews are significant: a dataset of exhaustive vs. trivial scientific peer reviews leveraging chain-of-thought reasoning Scientometrics, Springer
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  • S Kumar, H Arora, T Ghosal, A Ekbal From reviews to decisions: A joint multitask aspect sentiment leveraged framework for assisting decision prediction from academic peer reviews Scientometrics, Springer
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2025 3 papers
  • P. Priya, A. Tripathi, D. Varshney, M. Firdaus, A. Ekbal EMPOWER-KARE: Deep Prompt Learning for Knowledge-aware Response Generation in Clinical Counseling and Legal Support Conversations IEEE Transactions on Artificial Intelligence
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  • R. Appicharla, K.K. Gupta, A. Ekbal, P. Bhattacharyya Improving Neural Machine Translation Through Code‐Mixed Data Augmentation Computational Intelligence
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  • Mamta & Ekbal, A Quality achhi hai (is good), satisfied! Towards aspect based sentiment analysis in code-mixed language Computer Speech and Language, Elsevier, 89 (2025) (IF-3.1, h5-index: 47)
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2024 14 papers
  • Priya, P., Firdaus, M., & Ekbal, A Computational politeness in natural language processing: A survey ACM Computing Surveys 56 (9), 1-42 (h5-index: 131; IF-16.6)
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  • Priya, P., Firdaus, M. & Ekbal, A XeroPol: Emotion-Aware Contrastive Learning for Zero-Shot Cross-Lingual Politeness Identification in Dialogues IEEE Transactions on Computational Social Systems (IF-4.5, h5-index: 66)
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  • Mamta & Ekbal, A Atmosphere kamaal ka tha (Was Wonderful): A Multilingual Joint Learning Framework for Aspect Category Detection and Sentiment Classification IEEE Transactions on Computational Social Systems, vol 11(5), 5892-5902 (IF-4.5, h5-index: 66)
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  • Mishra, K., Firdaus, M. & Ekbal, A Please Donate to Save a Life: Inducing Politeness to Handle Resistance in Persuasive Dialogue Agents IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 32, pp. 2202-2212, 2024 (IF-4.1, h5-index: 74)
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  • Joshi, R.K., Chatterjee, A., & Ekbal, A Saliency infused dialogue response generation: Improving task-oriented text generation using feature attribution Expert Systems with Applications, Elsevier, Volume 255, Part A, 1. (IF-7.5, h5-index:165)
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  • Bharti, P.K., Navlakha, M., Agarwal, M. and Ekbal, A PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews Language Resources and Evaluation, Springer 58 (4), 1291-1313 (IF-1.7, h5-index: 33)
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  • Kumar, A., Ghosal, T., Bhattacharjee, S. & Ekbal, A Towards automated meta-review generation via an NLP/ML pipeline in different stages of the scholarly peer review process International Journal on Digital Libraries 25 (3), 493-504
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  • Varshney, D. & Ekbal, A Yes, I am afraid of the sharks and also wild lions!: A multitask framework for enhancing dialogue generation via knowledge and emotion grounding Computer Speech & Language, Elsevier 87, 101645 (IF-3.1, h5-index: 47)
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  • Phukan, A., Haq Khan, A.A. & Ekbal, A QuMIN: quantum multi-modal data fusion for humor detection Multimedia Tools and Applications, Springer, 1-18 (IF-3, h5-index:105)
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  • Singh, G.V., Verma, A., & Ekbal, A MultiSEAO-Mix: A Multimodal Multitask Framework for Sentiment, Emotion, Support, and Offensive Analysis in Code-Mixed Setting IEEE Transactions on Computational Social Systems (IF-4.5, h5-index: 66)
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  • Singh, G.V., Ghosh, S., Firdaus, M., Ekbal, A. & Bhattacharyya, P Predicting multi-label emojis, emotions, and sentiments in code-mixed texts using an emojifying sentiments framework Scientific Reports 14 (1), 12204 (IF-4.3, h5-index: 221)
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  • Joshi, R. K., Chatterjee, A. & Ekbal, A Saliency Guided Debiasing: Detecting and mitigating biases in LMs using feature attribution Neurocomputing, Volume 563, 2024, Elsevier
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  • Varshney, D., Zafar, A., Behera, N.K. & Ekbal, A Knowledge grounded medical dialogue generation using augmented graphs Scientific Reports 13, 3310 (2023). https://doi.org/10.1038/s41598-023-29213-8 (h5 index: 221, IF-4.3)
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  • Kumari, R., Ashok, N., Ghosal, T. & Ekbal, A What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion Information Processing and Management, Elsevier 59(1): 102740 (2022)
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2023 19 papers
  • Kumari, R., Gupta, V., Ghosal, T. & Ekbal, A Emotion Aided Multi-task Framework for Video Embedded Misinformation Detection Multimedia Tools and Application, Springer (IF-3.6)
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  • Gupta, K., Ghosal, T. & Ekbal, A Infusing Factual Knowledge into BERT for Finding the Contributions from the Research Articles Journal of Information Sciences, SAGE (IF-3.1; h5 index: 36)
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  • Chauhan, D.S., Singh, G.V., Ekbal, A. & Bhattacharyya, P MHaDiG: A Multilingual Humor-aided Multiparty Dialogue Generation in multimodal conversational setting Knowledge-Based Systems 278, 110840, Elsevier (IF-8.8; h5 index: 120)
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  • Varshney, D., Singh, A. & Ekbal, A Aspect-level Sentiment-Controlled Knowledge Grounded Multimodal Dialog Generation using Generative Models for Reviews Multimedia Tools and Application, Springer, https://doi.org/10.1007/s11042-023-16720-z (h5 index- 96; IF-3.6)
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  • Banik, D., Ekbal, A. & Satapathy, S.C Fuzzy Influenced Process to Generate Comparable to Parallel Corpora ACM Transactions on Asian and Low-Resource Language Information Processing, ACM (IF: 1.5, h5-index: 24)
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  • Firdaus, M., Singh, G.V., Ekbal, A. & Bhattacharyya, P Affect-GCN: a multimodal graph convolutional network for multi-emotion with intensity recognition and sentiment analysis in dialogues Multimedia Tools and Applications, 1-22, Springer (h5 index- 96; IF-3.6)
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  • Ghosh, S., Priyankar, A., Ekbal, A. & Bhattacharyya, P A transformer-based multi-task framework for joint detection of aggression and hate on social media data Natural Language Engineering, Cambridge University Press, 1-21 (Core-A)
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  • Das, S., Ghosh, S., Kolya, A. & Ekbal, A Unparalleled sarcasm: a framework of parallel deep LSTMs with cross activation functions towards detection and generation of sarcastic statements Language Resources Evaluation 57(2): 765-802 (2023) (IF: 1.83, h5-index: 28)
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  • Priya, P., Firdaus, M., & Ekbal, A A multi-task learning framework for politeness and emotion detection in dialogues for mental health counseling and legal aid Expert System with Application, Elsevier, 224: 120025 (2023) (IF: 8.5, h5-index: 148)
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  • Singh, G. V., Firdaus, M., Ekbal, A. & Bhattacharyya. P EmoInt-Trans: A Multimodal Transformer for Identifying Emotions and Intents in Social Conversations IEEE/ACM Transaction on Audio, Speech and Language Processing. 31: 290-300 (2023) (h5 index- 69; IF-5.4)
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  • Varshney, D., Tiwari, M., Nagaraja, G.P. & Ekbal, A EmoKbGAN: Emotion Controlled Response Generation using Generative Adversarial Network for Knowledge Grounded Conversation Plosone, 18(2): e0280458. https://doi.org/10.1371/journal.pone.0280458 (h5 index- 212; IF-3.7)
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  • Kumari, M., Ekbal, A. & Bhattacharyya, P Exploring Multi-lingual, Multi-task, and Adversarial Learning for Low-resource Sentiment Analysis ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 21, Issue 5, Article No.: 104pp 1–19, https://doi.org/10.1145/3514498
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  • Ghosh, S., Ekbal, A., Bhattacharyya, P., Saha, T., Kumar, A., & Srivastava, S SEHC: A Benchmark Setup to Identify Online Hate Speech in English IEEE Transaction on Computational Social System 10(2): 760-770 (2023)
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  • Kumari, G., Bandyopadhyay, D. & Ekbal, A EmoffMeme: Identifying Offensive Memes by leveraging underlying Emotions Multimedia Tools and Applications, Springer, https://doi.org/10.1007/s11042-023-14807-1 (87)
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  • Ghosh,S., Priyanka, A., Ekbal, A. & Bhattacharyya. P Multitasking of sentiment detection and emotion recognition in code-mixed Hinglish data Knowl. Based System, Elsevier, Volume 260, Issue C https://doi.org/10.1016/j.knosys.2022.110182
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  • Ghosh, S., Ekbal, A. & Bhattacharyya, P VAD-assisted multitask transformer framework for emotion recognition and intensity prediction on suicide notes Information Processing & Management, Elsevier 60 (2), 103234 (Core-A, h5 index- 69; IF-8.6)
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  • Kumar, S., Ghosal. T. & Ekbal, A DeepMetaGen: an unsupervised deep neural approach to generate template-based meta-reviews leveraging on aspect category and sentiment analysis from peer reviews International Journal on Digital Libraries (IJDL), Springer
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  • Firdaus, M., Ekbal, A., & Cambria, E Multitask learning for multilingual intent detection and slot filling in dialogue systems Information Fusion 91: 299-315 (2023), Elsevier (h5 index- 134; IF-14.8)
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  • Mishra, K., Firdaus. M., Ekbal, A GenPADS: Reinforcing politeness in an end-to-end dialogue system PLoS ONE 18(1): e0278323 https://doi.org/10.1371/journal.pone.027832 (h5 index- 212; IF-3.7)
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2022 17 papers
  • Ahmad, Z., Ekbal, A., Sengupta, S. & Bhattachharyya, P Neural Response Generation for Task Completion using Conversational Knowledge Graph PLosOne, https://doi.org/10.1371/journal.pone.0259238 (IF-3.752; h5 index: 180)
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  • Mishra, K., Firdaus, M. & Ekbal, A Please be Polite: Towards building a Politeness Adaptive Dialogue System for Goal-oriented Conversations, Neurocomputing, 94, 242-254, Elsevier (IF-5.719; h5 index: 123)
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  • Misra, K., Firdaus, M. & Ekbal, A Predicting politeness variations in Goal-oriented Conversations IEEE Transaction on Computational Social System, IEEE, doi: 10.1109/TCSS.2022.3156580 (IF-4.747; h5 index: 44)
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  • Singh, G.V., Firdaus, M., Shambhavi, Mishra, S. & Ekbal, A Knowing What to Say: Towards knowledge grounded code-mixed response generation for open-domain conversations Knowledge Based System, Elsevier, 249: 108900 (2022), Elsevier
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  • Chauhan, D.S., Singh, G.V., Arora, A., Ekbal, A. & Bhattacharyya, P An emoji-aware multitask framework for multimodal sarcasm detection Knowledge Based System 257: 109924 (2022), Elsevier (IF: 8.038; h5 index: 107)
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  • Ghosal, T., Kumar, S., Bharti, P. K. & Ekbal, A Peer review analyze: A novel benchmark resource for computational analysis of peer reviews, PLosOne, https://doi.org/10.1371/journal.pone.0259238 (IF-3.752; 180)
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  • Ghosh, S., Priyankar, A., Ekbal, A. & Bhattacharyya, P A Transformer-based Multi-task Framework for Joint Detection of Aggression and Hate on Social Media Data Natural Language Engineering, Cambridge University Press, 1-21. doi:10.1017/S1351324923000104 (Core-A)
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  • Firdaus, M., Shandilya, A., Ekbal, A. & Bhattacharyya, P Being polite: Modeling politeness variation in a personalized dialog agent IEEE Transactions on Computational Social Systems, Vol 10, No. 4, 1445-1464
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  • Ghosh, S., Ekbal, A. & Bhattacharyya, P. Deep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes. Sci Rep 12, 4457 Ghosh, S., Ekbal, A. & Bhattacharyya, P. Deep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes. Sci Rep 12, 4457 (2022)
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  • Firdaus, M., Thangavelu, N., Ekbal, A. & Bhattacharyya, P I Enjoy Writing and Playing, Do You?: A Personalized and Emotion Grounded Dialogue Agent Using Generative Adversarial Network IEEE Transaction on Affective Computing, DOI-0.1109/TAFFC.2022.3155105 (h5 index- 62; IF-16.3)
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  • Firdaus, M., Chauhan, H., Ekbal, A. & Bhattacharyya, P EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System IEEE Transaction on Affective Computing 13(3): 1555-1566 (2022). (h5 index- 62; IF-16.3)
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  • Kamila, S., Hasanuzzaman, M., Ekbal, A. & Bhattacharyya, P Measuring Temporal Distance Focus From Tweets and Investigating its Association With Psycho-Demographic Attributes IEEE Transaction on Affective Computing 13(2): 1086-1097 (2022) (h5 index- 62; IF-16.3)
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  • Akhtar, S., Ghosal, D., Ekbal, A., Bhattacharyya, P. & Kurohashi, S All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework IEEE Trans. Affect. Comput. 13(1): 285-297 (2022) (h5 index- 62; IF-16.3)
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  • Saikh, T., Ghosal, T., Mittal, A., Ekbal, A., Bhattacharyya, P ScienceQA: a novel resource for question answering on scholarly articles Int. J. Digit. Libr. 23(3): 289-301 (2022), Springer
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  • Ahmad, Z., Sujeeth, V. S. Ekbal, A Zero-Shot Hate to Non-Hate Text Conversion Using Lexical Constraints IEEE Transactions on Computational Social Systems, IEEE, 10.1109/TCSS.2022.3175259 (IF-4.747; h5 index: 44)
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  • Yadav, S., Jayashree, S. R., Saha, S. & Ekbal, A Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework IEEE ACM Trans. Computational Biol. Bioinform. 19(2): 1105-1116 (2022)
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  • Kamila, S., Hasanuzzaman, M., Ekbal, A. et al. Investigating the impact of emotion on temporal orientation in a deep multitask setting. Sci Rep 12, 493 Kamila, S., Hasanuzzaman, M., Ekbal, A. et al. Investigating the impact of emotion on temporal orientation in a deep multitask setting. Sci Rep 12, 493 (2022)
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2021 8 papers
  • Kumari, R., Ekbal, A 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
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  • Gupta, D, Suman, S., Ekbal, A Hierarchical deep multi-modal network for medical visual question answering Expert Systems with Application, Elsevier, 164(1s):113993
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  • Firdaus, M., Thakur, N., Ekbal, A Aspect-Aware Response Generation for Multimodal Dialogue System ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-33. (IF-3.971; h5-index: 38)
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  • Sen, S, Hasanuzzaman M., Ekbal A. , Bhattacharyya, P., Way, A Neural machine translation of low-resource languages using SMT phrase pair injection Natural Language Engineering, Cambridge University Press, 271-292 (Core-A)
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  • Ghosal, T., Edithal, V., Ekbal, A., Bhattacharyya, P., Chivukula, S., Tsatsaroni, G Is Your Document Novel? Let Attention Guide You. An Attention Based Model For Document Level Novelty Detection Natural Language Engineering Journal, Cambridge University Press, 427-454 (Core-A)
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  • Kumari, R., Nischal, A., Ghosal, T., Ekbal, A Misinformation detection using multi-task learning with mutual learning for novelty detection and emotion recognition Information Processing and Management (IPM), Elsevier, 102631/1-15. (Core-A)
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  • Firdaus, M., Golchha., H., Ekbal, A., Bhattacharyya, P A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling Cognitive Computation, Springer, 626-645 (h5 index-49; IF-5.418)
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  • Gupta, D., Suman, S. & Ekbal, A Hierarchical deep multi-modal network for medical visual question answering Expert Syst. Appl. 164: 113993 (2021), Elsevier
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2020 10 papers
  • Firdaus, M., Shandilya, A.P. & Ekbal, A More to Diverse: Generating Diversified Responses in a Task Oriented Multimodal Dialog System PLosONE, https://doi.org/10.1371/journal.pone.0241271. (IF-3.752; h5 index: 180)
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  • Yadav, S., Ramteke, P., Ekbal, A., Saha, S. & Bhattacharyya, P Exploring Disorder-Aware Attention for Clinical Event Extraction ACM Transactions on Multimedia Computing, Communications, and Applications, https://doi.org/10.1145/3372328
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  • Akhtar, S., Garg, T. & Ekbal, A Multi-task Learning for Aspect Term Extraction and Sentiment Classification Neurocomputing, Elsevier, https://doi.org/10.1016/j.neucom.2020.02.093
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  • Kapil, P. & Ekbal, A A deep neural network based multi-task learning approach to hate speech detection Knowledge Based System, Elsevier, 210: 106458 (2020)
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  • Ghosh, S., Ekbal, A. & Bhattacharyya, P A multitask framework to detect depression, sentiment and multi-label emotion from suicide notes Cognitive Computation, Springer, pp. 1-20
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  • Kamila, S., Hasanuzzaman, M., Ekbal, A. & Bhattacharyya, P 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
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  • Ahmad, Z., Jindal, R., Ekbal, A. & Bhattachharyya, P Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding Expert Syst. Appl., Elsevier, 139 (2020)
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  • Akhtar, S., Chauhan, D. & Ekbal, A A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis ACM Transaction on Knowledge Discovery from Data, 14(3), 32:1-32
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  • Gupta, D., Ekbal, A. & Bhattacharyya, P 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)
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  • Akhtar, M.S., Ekbal, A., Cambria, E How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble (2020) IEEE Computational Intelligence, Vol 15(1),64-75
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2019 7 papers
  • Banik, D., Ekbal, A., Bhattacharyya, P. & Bhattacharyya, S Assembling translations from multi-engine machine translation outputs Applied Soft Computing, Elsevier, 78: 230-239 (2019)
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  • Roy, S., Mondal, S., Ekbal, A. & Desarkar, M Dispersion Ratio based Decision Tree Model for Classification Expert Syst. Appl., Elsevier, 116: 1-9 (2019)
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  • Yadav, S., Ekbal, A. & Saha, S Information theoretic-PSO-based feature selection: an application in biomedical entity extraction Knowledge and Information System, Springer, 60(3): 1453-1478 (2019)
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  • Firdaus, M., Kumar, A., Ekbal, A. & Bhattacharyya, P A Multi-task Hierarchical Approach for Intent Detection and Slot Filling Knowledge based Systems, Elsevier, https://doi.org/10.1016/j.knosys.2019.07.017. (IF-8.038; h5 index: 107)
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  • Yadav, S., Ekbal, A., Saha, S., Kumar, A. & Bhattacharyya, P Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein-protein interaction Knowledge Based System, Elsevier, 166: 18-29 (2019)
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  • Akhtar, S., Sawant, P., Sen, S., Ekbal, A. & Bhattacharyya, P 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
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  • Kamila, S., Hasanuzzaman, M., Ekbal, A. & Bhattacharyya, P Tempo-HindiWordNet: A Lexical Knowledge-base for Temporal Information Processing ACM Trans. Asian & Low-Resource Lang. Inf. Process. 18(2): 19:1-19:22
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2018 1 paper
  • Akhtar, S., Ekbal, A., Narayan, S. & Singh, V No, That Never Happened!! Investigating Rumors on Twitter IEEE Intell. Syst. 33(5): 8-15 (2018)
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2017 2 papers
  • Akhtar, M.S., Gupta, D., Ekbal, A. and Bhattacharyya, P Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis Knowledge-Based Systems, Elsevier, 125, pp.116-135
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  • Alok, A. K., Saha, S. & Ekbal, A Semi-supervised clustering for gene-expression data in multiobjective optimization framework Int. J. Machine Learning & Cybernetics, Springer, pp. 421-439
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2016 4 papers
  • Sikdar, U., Ekbal, A. and Saha, S A Generalized Framework for Anaphora Resolution in Indian Languages Knowledge based Systems, Elsevier, Vol. 109: 147-159
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  • Saha, S., Alok, A.K. & Ekbal, A Brain image segmentation using semi-supervised clustering Expert Syst. Appl. vol 52. pp. 50-63
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  • Alok, A, K., Saha, S. & Ekbal, A Multi-objective semi-supervised clustering for automatic pixel classification from remote sensing imagery Soft Computing, Springer, 4733-4751
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  • Ekbal, A. & Saha, S Simultaneous feature and parameter selection using multiobjective optimization: application to named entity recognition International Journal of Machine Learning and Cybernetics, 7, Springer, 597-611
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2015 4 papers
  • Ekbal, A. & Saha, S Joint model for feature selection and parameter optimization coupled with classifier ensemble in chemical mention recognition Knowledge Based Systems, 85, Elsevier, 37-51
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  • Alok, A, K., Saha, S. & Ekbal, A A new semi-supervised clustering technique using multi-objective optimization Applied Intelligence, 43(3), Springer, 633-661
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  • Saha, S., Spandana, R., Ekbal, A. & Bandyopadhyay, S Simultaneous feature selection and symmetry-based clustering using multiobjective framework Applied Soft Computing, 29, Elsevier, 479-486
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  • Sikdar, U, K., Ekbal, A., Saha, S., Poesio, O, U, M Differential evolution-based feature selection technique for anaphora resolution Soft computing, Springer, 2149-2161
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2012 1 paper
  • Ekbal, A. & Saha, S Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition International Journal on Document Analysis and Recognition (IJDAR), 15(2), Springer, 143-166
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2011 5 papers
  • Ekbal, A. & Saha, S Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach ACM Transactions on Asian Language Information Processing (ACM TALIP), 10(2), ACM Digital Library, 1-37
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  • Ekbal, A. & Saha, S A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies Expert System with Application, 6(10), Elsevier, 14760-14772
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  • Ekbal, A., Bonin, F., Saha, Sriparna., Stemle, E., Barbu, E., Cavulli, F., Girardi, C. & Poesio, M Rapid Adaptation of NE Resolvers for Humanities Domains using Active Annotation Journal for Language Technology and Computational Linguistics, 26(2), 39-51
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  • Ekbal, A. & Saha, S Classifier Ensemble Selection using Genetic Algorithm for Named Entity Recognition Research on Language and Computation, Springer, 8, 73-99
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  • Ekbal, A. & Bandyopadhyay, S Named entity recognition in Bengali and Hindi using support vector machine Lingvisticæ Investigationes, John Benjamins Publishing 34 (1), 35-67
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2010 1 paper
  • Ekbal, A. & Bandyopadhyay Named entity recognition using support vector machine: A language independent approach International Journal of Electrical, Computer, and Systems Engineering, 4:2:2010, 155-170
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2009 1 paper
  • Ekbal, A., Naskar, S, K. & Bandyopadhyay, S Named Entity Recognition and transliteration in Bengali Named Entities: Recognition, classification and use, 30(1), John Benjamins Publishing, 97–116
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2008 1 paper
  • Ekbal, A. & Bandyopadhyay, S A web-based Bengali news corpus for named entity recognition Language Resource Evaluation, 42, Springer, 173-182
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— 1 paper (year not listed)
  • Firdaus, M., Madasu, A & Ekbal, A. A Unified Framework for Slot based Response Generation in a Multimodal Dialogue System. Multimedia Tools Application, Springer 83, 11643–11667
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