Journals

  1. P. Priya, M. Firdaus, A. Ekbal (2024). Computational politeness in natural language processing: A survey. ACM Computing Surveys, https://doi.org/10.1145/3654660 (h5 index- 131; IF-16.6).

  2. A. Zafar, S. Sahoo, H. Bhardawaj, A. Das and A. Ekbal (2024). KI-MAG: A Knowledge-Infused Abstractive Question Answering System in Medical Domain, In Neurocomputing, Elsevier (from Wipro funding) (h5 index- 135; IF-6)

  3. Aizan Zafar, Deeksha Varshney, Sovan Kumar Sahoo, Amitava Das, Asif Ekbal (2024). Are my answers medically accurate? Exploiting medical knowledge graphs for medical question answering. In Applied Intelligence 54(2): 2172-2187 (2024), Springer (from Wipro funding) (h5 index- 78; IF-5.3)

  4. Kshitij Mishra, Mauajama Firdaus, Asif Ekbal (2024). Please Donate to Save a Life: Inducing Politeness to Handle Resistance in Persuasive Dialogue Agents. In IEEE ACM Trans. Audio Speech Lang. Process. 32: 2202-2212 (2024) (h5 index- 69; IF-5.4)

  5. R. Joshi and A. Ekbal (2024). Saliency Guided Debiasing: Detecting and mitigating biases in LMs using feature attribution. In Neurocomputing, Elsevier (IF-6; h5 index: 135).

  6. G Kumari, D Bandyopadhyay, A Ekbal, S Pal, A Chatterjee, BN Vinutha (2024). Let’s All Laugh Together: A Novel Multitask Framework for Humor Detection in Internet Memes. In IEEE Transaction on Computational Social Systems, IEEE (from Wipro funding) (h5 index- 57; IF-5)

  7. A. Pukhan, S. Pal and A. Ekbal (2024). Hybrid Quantum-Classical Neural Network for Multimodal Multitask Sarcasm, Emotion, and Sentiment Analysis. In IEEE Transaction on Computational Social Systems, IEEE (from Wipro funding) (h5 index- 57; IF-5).

  8. P. Priya, M. Firdaus, A. Ekbal (2024). Two in One: A multi-task framework for politeness turn identification and phrase extraction in goal-oriented conversations. Computer Speech and Language, Elsevier (h5 index- 41; IF-4.3)

  9. D. Varshney and A. Ekbal (2024). 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 and Language, Elsevier (h5 index- 41; IF-4.3)

  10. Mamta and A. Ekbal (2024). Atmosphere kamaal ka tha (Was Wonderful): A Multilingual Joint Learning Framework for Aspect Category Detection and Sentiment Classification. In IEEE Transaction on Computational Social Systems, IEEE (from Wipro funding) (h5 index- 57; IF-5)

  11. S Bala Das, D Panda, T Kumar Mishra, B Kr. Patra, A Ekbal (2024). Multilingual Neural Machine Translation for Indic to Indic Languages. In ACM Transaction on Asian and Low-resource Language Information Processing (ACM TALLIP)

  12. D. Kumari and A. Ekbal (2024). Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT. In Journal of Intelligent Information Systems, Springer, 1-26 (h5 index- 32; IF-3.4)

  13. A Zafar, SK Sahoo, D Varshney, A Das, A Ekbal (2024). KIMedQA: towards building knowledge-enhanced medical QA models. In Journal of Intelligent Information Systems, Springer, 1-26 (from Wipro funding) (h5 index- 32; IF-3.4)

  14. D. Varshney, A. Zafar, N. Behera, and Asif Ekbal (2023). Knowledge Graph Assisted End-to-End Medical Dialog Generation. In Artificial Intelligence in Medicine, Elsevier, 139, 102535  (h5 index-78; IF-7.011) (from Wipro funding)

  15. R. Kumari, V. Gupta, T. Ghosal and A. Ekbal (2023). Emotion Aided Multi-task Framework for Video Embedded Misinformation Detection. In Multimedia Tools and Application, Springer (IF-3.6)

  16. K. Gupta, T. Ghosal and A. Ekbal (2023). Infusing Factual Knowledge into BERT for Finding the Contributions from the Research Articles. In Journal of Information Sciences, SAGE (IF-3.1; h5 index: 36)

  17. DS Chauhan, GV Singh, A Ekbal, P Bhattacharyya (2023). MHaDiG: A Multilingual Humor-aided Multiparty Dialogue Generation in multimodal conversational setting. Knowledge-Based Systems 278, 110840, Elsevier (IF-8.8; h5 index: 120)

  18. Mamta and A. Ekbal (2023). Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis. Journal of Intelligent Information System, Springer, doi: https://doi.org/10.1007/s10844-023-00808-x (h5 index- 32; IF-3.4).

  19. Prashant Kapil, Gitanjali Kumari, Asif Ekbal, Santanu Pal, Arindam Chatterjee, Vinutha BN (2023). HHSD: Hindi Hate Speech Detection Leveraging Multi-Task Learning. IEEE Access 11: 101460-101473 (2023) (h5 index- 233)

  20. D. Varshney, A. Singh and A. Ekbal (2023). 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).

  21. Prabhat Kumar Bharti, Meith Navlakha, Mayank Agarwal, and Asif Ekbal (2023). PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews. In Language Resources and Evaluation, Springer. (IF: 1.83, h5-index: 28)

  22. A De, MS Desarkar, A Ekbal (2023). Towards Improvement of Grounded Cross-lingual Natural Language Inference with VisioTextual Attention. Natural Language Processing Journal, Elsevier, 4, 100023

  23. P. Bharti, T. Ghosal, M. Agarwal, A. Ekbal (2023). PEERRec: An AI-based approach to Automatically Generate Recommendations and Predict Decisions in Peer Review. International Journal on Digital Libraries (IJDL), 1-8 (IF: 1.8, h5-index: 24)

  24. D Banik, A Ekbal, SC Satapathy (2023). 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)

  25. PK Bharti, M Navlakha, M Agarwal, A Ekbal (2023). PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews, Language Resources and Evaluation, 1-23 (IF: 1.83, h5-index: 28)

  26. M Firdaus, GV Singh, A Ekbal, P Bhattacharyya (2023). Affect-GCN: a multimodal graph convolutional network for multi-emotion with intensity recognition and sentiment analysis in dialogues, Multimedia Tools and Applications, 1-22 (h5 index- 96; IF-3.6)

  27. S Ghosh, A Priyankar, A Ekbal, P Bhattacharyya (2023). 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)

  28. SK Sahoo, S Saha, A Ekbal, P Bhattacharyya (2022). Event-Argument Linking in Disaster Domain, IEEE Access 10, 94203-94219 (h5 index- 233)

  29. R. Kumari, Nischal A, T. Ghosal, A. Ekbal (2023). Identifying Multimodal Misinformation Leveraging Novelty Detection and Emotion Recognition. In Journal of Intelligent Information System, Springer (h5 index- 32; IF-3.4).

  30. Sourav Das, Soumitra Ghosh, Anup Kumar Kolya, Asif Ekbal (2023). 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)

  31. Priyanshu Priya, Mauajama Firdaus, Asif Ekbal (2023). A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid. Expert Syst. Application, Elsevier, 224: 120025 (2023) (IF: 8.5, h5-index: 148)

  32. Varshney, D., Zafar, A., Behera, N.K. et al. Knowledge grounded medical dialogue generation using augmented graphs. Scientific Reports 13, 3310 (2023). https://doi.org/10.1038/s41598-023-29213-8 (h5 index: 206, IF-4.997).

  33. Gopendra Vikram Singh, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2023). EmoInt-Trans: A Multimodal Transformer for Identifying Emotions and Intents in Social Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 290-300 (2023) (h5 index- 69; IF-5.4)

  34. D. Varshney, M. Tiwari, G P Nagaraja, A. Ekbal (2023). EmoKbGAN : Emotion Controlled Response Generation using Generative Adversarial Network for Knowledge Grounded Conversation. In Plosone, 18(2): e0280458. https://doi.org/ 10.1371/journal.pone.0280458 (h5 index- 212; IF-3.7) (from Samsung funding)

  35. M. Kumari, A. Ekbal and P. Bhattacharyya (2023). Exploring Multi-lingual, Multi-task, and Adversarial Learning for Low-resource Sentiment Analysis. In 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.

  36. A Kumar, T Ghosal, S Bhattacharjee, A Ekbal (2023). Towards automated meta-review generation via an NLP/ML pipeline in different stages of the scholarly peer review process. International Journal on Digital Libraries, Springer 1-12

  37. Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, Tista Saha, Alka Kumar, Shikha Srivastava (2023). SEHC: A Benchmark Setup to Identify Online Hate Speech in English. IEEE Trans. Comput. Soc. Syst. 10(2): 760-770 (2023)

  38. G. Kumari, D. Bandyopadhyay, A. Ekbal (2023). EmoffMeme: Identifying Offensive Memes by leveraging underlying Emotions. Multimedia Tools and Applications, Springer, https://doi.org/10.1007/s11042-023-14807-1 (87)

  39. G. Singh, M. Firdaus, A. Ekbal and P. Bhattacharyya (2023). Affect-GCN: A Multimodal Graph Convolutional Network for Multi-Emotion with Intensity Recognition and Sentiment Analysis in Dialogues. Multimedia Tools and Applications, Springer, https://doi.org/10.1007/s11042-023-14885-

  40. S Ghosh, A. Priyanka, A.Ekbal and P. Bhattacharyya (2023). 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

  41. S Ghosh, A Ekbal, P Bhattacharyya (2023). VAD-assisted multitask transformer framework for emotion recognition and intensity prediction on suicide notes, Information Processing & Management 60 (2), 103234 (Core-A, h5 index- 69; IF-8.6)

  42. S. Kumar, T. Ghosal and A. Ekbal (2023). 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

  43. Mauajama Firdaus, Asif Ekbal, Erik Cambria (2023). Multitask learning for multilingual intent detection and slot filling in dialogue systems. Inf. Fusion 91: 299-315 (2023), Elsevier (h5 index- 116; IF-18.6)

  44. Mishra K, Firdaus M, Ekbal A (2023) 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)

  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, 1–41. (Core-A*)

  46. Zishan Ahmad, Asif Ekbal, Subhashish Sengupta , Pushpak Bhattachharyya (2022). 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)

  47. Kshitij Mishra, Mauajama Firdaus and Asif Ekbal (2022). 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).

  48. K. Misra, M. Firdaus, A. Ekbal (2022). 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).

  49. Gopendra Vikram Singh, Mauajama Firdaus, Shambhavi, Shruti Mishra, Asif Ekbal (2022). Knowing What to Say: Towards knowledge grounded code-mixed response generation for open-domain conversations. Knowledge Based System, Elsevier, 249: 108900 (2022), Elsevier.

  50. Dushyant Singh Chauhan, Gopendra Vikram Singh, Aseem Arora, Asif Ekbal, Pushpak Bhattacharyya (2022). An emoji-aware multitask framework for multimodal sarcasm detection. Knowl. Based Syst. 257: 109924 (2022), Elsevier (IF: 8.038; h5 index: 107).

  51. Tirthankar Ghosal , Sandeep Kumar, Prabhat Kumar Bharti, Asif Ekbal (2022). 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)

  52. Soumitra Ghosh, Amit Priyankar, Asif Ekbal, Pushpak Bhattacharyya (2022). 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).

  53. M Firdaus, A Shandilya, A Ekbal, P Bhattacharyya (2023). Being polite: Modeling politeness variation in a personalized dialog agent. IEEE Transactions on Computational Social Systems

  54. M. Firdaus, , Naveen 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. In IEEE Transaction on Affective Computing, DOI-0.1109/TAFFC.2022.3155105 (h5 index- 62; IF-16.3)

  55. Mauajama Firdaus, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya (2022). EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System. In IEEE Transaction on Affective Computing 13(3): 1555-1566 (2022). (h5 index- 62; IF-16.3)

  56. Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal and Pushpak Bhattacharyya (2022). Measuring Temporal Distance Focus From Tweets and Investigating its Association With Psycho-Demographic Attributes. In IEEE Trans. Affect. Comput. 13(2): 1086-1097 (2022) (h5 index- 62; IF-16.3)

  57. Md. Shad Akhtar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya, Sadao Kurohashi (2022). 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)

  58. Tanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, Pushpak Bhattacharyya (2022). ScienceQA: a novel resource for question answering on scholarly articles. Int. J. Digit. Libr. 23(3): 289-301 (2022), Springer.

  59. 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, IEEE, 10.1109/TCSS.2022.3175259 (IF-4.747; h5 index: 44).

  60. Shweta Yadav, Srivatsa Ramesh Jayashree, Sriparna Saha, Asif Ekbal (2022). Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1105-1116 (2022).

  61. Divya Kumari, Asif Ekbal, Rejwanul Haque, Pushpak Bhattacharyya, Andy Way (2021). Reinforced NMT for Sentiment and Content Preservation in Low-resource Scenario. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(4): 70:1-70:27 (2021).

  62. Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2022) A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes. Cognitive Computation, 14(1): 110-129 (2022), Springer.

  63. S. Ghosh, A. Ekbal and P. Bhattacharyya (2022). Deep Cascaded Multitask Framework for Detection of Temporal Orientation, Sentiment and Emotion from Suicide Notes, Scinetific Reports, Nature, 12, Article number: 4457 (2022) (h5 index- 200).

  64. 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 (2022).

  65. Kamila, S., Hasanuzzaman, Md., Ekbal, A., and Bhattacharyya, P. (2021): Investigating the Impact of Emotion on Temporal Orientation in a Deep Multitask Setting. Scientific Reports, Nature, 12, Article number: 493 (2022) (h5 index- 200).

  66. Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze (2022). Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. J. Intell. Inf. Syst. 58(1): 1-19 (2022).

  67. Gupta, K., Sen, S., Haque, R., Ekbal, A., Bhattacharyya, P., Way, A. (2021): Augmenting Training Data with Syntactic Phrasal-Segments in Low-Resource Neural Machine Translation. In Machine Translation, Springer, Machine Translation, Springer 35(4): 661-685 (2021)

  68. Dey, A., Bandyopadhyay, D., Gain, B., Ekbal, A. (2022): A Transformer Based Approach to Multilingual Fake News Detection in Low-resource Languages. In: ACM Transaction on Asian and Low-resource Language Information Processing (ACM TALLIP), 21(1), ACM Digital Library, 1-20.

  69. Kumari, R., Nischal, A., Ghosal, T., Ekbal, A. (2022): What the fake? Probing Misinformation Detection Standing on the Shoulder of Novelty and Emotion. In: Information Processing and Management (IPM), Elsevier, https://doi.org/10.1016/j.ipm.2021.102740 (Core-A).

  70. Kumari, R., Ekbal, A. (2021): AMFB: Attention based Multi-modal Factorized Bilinear Pooling for Multi-modal Fake News Detection. In: Expert Systems with Applications, Elsevier, https://doi.org/10.1016/j.eswa.2021.115412.

  71. Gupta, D, Suman, S., Ekbal, A. (2021): Hierarchical deep multi-modal network for medical visual question answering. In: Expert Systems with Applications, Elsevier, 164(1s):113993.

  72. M Firdaus, N Thakur, A Ekbal (2021). Aspect-Aware Response Generation for Multimodal Dialogue System. In ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-33. 1. (IF-3.971; h5-index: 38).

  73. Sen, S, Hasanuzzaman M., Ekbal A. , Bhattacharyya, P., Way, A. (2021): Neural machine translation of low-resource languages using SMT phrase pair injection. Natural Language Engineering, Cambridge University Press, 271-292 (Core-A)

  74. Ghosal, T., Edithal, V., Ekbal, A., Bhattacharyya, P., Chivukula, S., Tsatsaroni, G. (2021): Is Your Document Novel? Let Attention Guide You. An Attention Based Model For Document Level Novelty Detection. In: Natural Language Engineering Journal, Cambridge University Press, 427-454 (Core-A)

  75. Kumari, R., Nischal, A., Ghosal, T., Ekbal, A.+ (2021): Misinformation detection using multi-task learning with mutual learning for novelty detection and emotion recognition. In: Information Processing and Management (IPM), Elsevier, 102631/1-15. (Core-A)

  76. Firdaus, M., Golchha., H., Ekbal, A., Bhattacharyya, P. (2021): A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling. In: Cognitive Computation, Springer, 626-645 (h5 index-49; IF-5.418).

  77. Deepak Gupta, Swati Suman, Asif Ekbal (2021). Hierarchical deep multi-modal network for medical visual question answering. Expert Syst. Appl. 164: 113993 (2021), Elsevier

  78. 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 (Core-A)

  79. 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.

  80. M. Firdaus, A.P Shandilya and A. Ekbal (2020). 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)

  81. 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.

  82. S. Akhtar, T. Garg, A. Ekbal (2020). Multi-task Learning for Aspect Term Extraction and Sentiment Classification. In Neurocomputing, Elsevier, https://doi.org/10.1016/j.neucom.2020.02.093.

  83. Prashant Kapil, Asif Ekbal (2020). A deep neural network based multi-task learning approach to hate speech detection. Knowl. Based Syst., Elsevier, 210: 106458 (2020).

  84. S. Ghosh, A. Ekbal and P. Bhattacharyya (2020). A multitask framework to detect depression, sentiment and multi-label emotion from suicide notes. In Cognitive Computation, Springer, pp. 1-20.

  85. 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.

  86. Zishan Ahmad, Raghav Jindal, Asif Ekbal, Pushpak Bhattachharyya (2020). Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding. Expert Syst. Appl., Elsevier, 139 (2020).

  87. 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.

  88. Shweta Yadav and Asif Ekbal and Sriparna Saha (2018). Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach. Soft Computing, Vol. 22. pp. 6881-6904, Springer.

  89. 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).

  90. 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.

  91. Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya, Siddhartha Bhattacharyya (2019). Assembling translations from multi-engine machine translation outputs. Appl. Soft Comput., Elsevier, 78: 230-239 (2019).

  92. Mauajama Firdaus, Hitesh Golchha, Asif Ekbal, Pushpak Bhattacharyya (2021). A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling. Cognitive Computation 13(3): 626-645 (2021).(h5 index: 43; IF-5.418)

  93. Smita Roy, Samrat Mondal, Asif Ekbal, Maunendra Sankar Desarkar (2019). Dispersion Ratio based Decision Tree Model for Classification. Expert Syst. Appl., Elsevier, 116: 1-9 (2019).

  94. Shweta Yadav, Asif Ekbal, Sriparna Saha (2019). Information theoretic-PSO-based feature selection: an application in biomedical entity extraction. Knowl. Inf. Syst., Springer, 60(3): 1453-1478 (2019).

  95. 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. (IF-8.038; h5 index: 107).

  96. 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., Elsevier, 166: 18-29 (2019).

  97. 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.

  98. 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).

  99. 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, Elsevier, 125, pp.116-135.

  100. Abhay Kumar Alok, Sriparna Saha, Asif Ekbal (2017). Semi-supervised clustering for gene-expression data in multiobjective optimization framework. In proceedings of Int. J. Machine Learning & Cybernetics, Springer, pp. 421-439.

  101. 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

  102. U. Sikdar, A. Ekbal and S. Saha (2016). A Generalized Framework for Anaphora Resolution in Indian Languages. Knowledge based Systems, Elsevier, Vol. 109: 147-159.

  103. Sriparna Saha, Abhay Kumar Alok, Asif Ekbal (2016). Brain image segmentation using semi-supervised clustering. In proceedings of Expert Syst. Appl. vol 52. pp. 50-63.

  104. 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.

  105. Sriparna Saha, Abhay Kumar Alok, Asif Ekbal (2016). Use of Semi supervised Clustering and Feature-Selection Techniques for Identification of Co-expressed Genes. IEEE J. Biomed. Health Informatics. vol. 20. num. 4. pp. 1171-1177.

  106. Abhay Kumar Alok, Sriparna Saha, Asif Ekbal (2016). Multi-objective semi-supervised clustering for automatic pixel classification from remote sensing imagery. In Soft Computing, Springer, vol. 20. pp. 4733-4751.

  107. 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.

  108. 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.

  109. Abhay Kumar Alok, Sriparna Saha, Asif Ekbal (2015). A new semi-supervised clustering technique using multi-objective optimization. Applied intelligence, Springer, vol. 43(3). pp. 633-661.

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