Journals

  1. P. Priya, A. Tripathi, D. Varshney, M. Firdaus, A. Ekbal (2025). EMPOWER-KARE: Deep Prompt Learning for Knowledge-aware Response Generation in Clinical Counseling and Legal Support Conversations. In IEEE Transactions on Artificial Intelligence.
  2. R. Appicharla, K.K. Gupta, A. Ekbal, P. Bhattacharyya (2025). Improving Neural Machine Translation Through Code‐Mixed Data Augmentation. In Computational Intelligence.
  3. Mamta & Ekbal, A. (2025). 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).
  4. Priya, P., Firdaus, M., & Ekbal, A. (2024). Computational politeness in natural language processing: A survey. ACM Computing Surveys 56 (9), 1-42 (h5-index: 131; IF-16.6).
  5. Priya, P., Firdaus, M. & Ekbal, A. (2024). 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).
  6. Mamta & Ekbal, A. (2024). 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).
  7. Mishra, K., Firdaus, M. & Ekbal, A. (2024). 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).
  8. Joshi, R.K., Chatterjee, A., & Ekbal, A. (2024). 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).
  9. Bharti, P.K., Navlakha, M., Agarwal, M. and Ekbal, A. (2024). 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).
  10. Kumar, A., Ghosal, T., Bhattacharjee, S. & Ekbal, A. (2024). 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.
  11. Varshney, D. & Ekbal, A. (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 & Language, Elsevier 87, 101645 (IF-3.1, h5-index: 47).
  12. Phukan, A., Haq Khan, A.A. & Ekbal, A. (2024). QuMIN: quantum multi-modal data fusion for humor detection. Multimedia Tools and Applications, Springer, 1-18 (IF-3, h5-index:105).
  13. Singh, G.V., Verma, A., & Ekbal, A. (2024). 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).
  14. Singh, G.V., Ghosh, S., Firdaus, M., Ekbal, A. & Bhattacharyya, P. (2024). 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).
  15. Joshi, R. K., Chatterjee, A. & Ekbal, A. (2024). Saliency Guided Debiasing: Detecting and mitigating biases in LMs using feature attribution. Neurocomputing, Volume 563, 2024, Elsevier
  16. 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
  17. Kumari, R., Gupta, V., Ghosal, T. & Ekbal, A. (2023). Emotion Aided Multi-task Framework for Video Embedded Misinformation Detection. In Multimedia Tools and Application, Springer (IF-3.6)
  18. Gupta, K., Ghosal, T. & Ekbal, A. (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)
  19. Chauhan, D.S., Singh, G.V., Ekbal, A. & Bhattacharyya, P. (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)
  20. Varshney, D., Singh, A. & Ekbal, A. (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. Banik, D., Ekbal, A. & Satapathy, S.C. (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)
  22. Firdaus, M., Singh, G.V., Ekbal, A. & Bhattacharyya, P. (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, Springer (h5 index- 96; IF-3.6)
  23. Ghosh, S., Priyankar, A., Ekbal, A. & Bhattacharyya, P. (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)
  24. Das, S., Ghosh, S., Kolya, A. & Ekbal, A. (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)
  25. Priya, P., Firdaus, M., & Ekbal, A. (2023). 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)
  26. Varshney, D., Zafar, A., Behera, N.K. & Ekbal, A. (2024). 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)
  27. Singh, G. V., Firdaus, M., Ekbal, A. & Bhattacharyya. P. (2023). 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)
  28. Varshney, D., Tiwari, M., Nagaraja, G.P. & Ekbal, A. (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)
  29. Kumari, M., Ekbal, A. & Bhattacharyya, P. (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
  30. Ghosh, S., Ekbal, A., Bhattacharyya, P., Saha, T., Kumar, A., & Srivastava, S. (2023). SEHC: A Benchmark Setup to Identify Online Hate Speech in English. In IEEE Transaction on Computational Social System 10(2): 760-770 (2023)
  31. Kumari, G., Bandyopadhyay, D. & Ekbal, A. (2023). EmoffMeme: Identifying Offensive Memes by leveraging underlying Emotions. Multimedia Tools and Applications, Springer, https://doi.org/10.1007/s11042-023-14807-1 (87)
  32. Ghosh,S., Priyanka, A., Ekbal, A. & Bhattacharyya. P. (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.
  33. Ghosh, S., Ekbal, A. & Bhattacharyya, P. (2023). 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)
  34. Kumar, S., Ghosal. T. & Ekbal, A. (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
  35. Firdaus, M., Ekbal, A., & Cambria, E. (2023). 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)
  36. 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)
  37. Ahmad, Z., Ekbal, A., Sengupta, S. & Bhattachharyya, P. (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)
  38. Mishra, K., Firdaus, M. & Ekbal, A. (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)
  39. Misra, K., Firdaus, M. & Ekbal, A. (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)
  40. Singh, G.V., Firdaus, M., Shambhavi, Mishra, S. & Ekbal, A. (2022). Knowing What to Say: Towards knowledge grounded code-mixed response generation for open-domain conversations. Knowledge Based System, Elsevier, 249: 108900 (2022), Elsevier
  41. Chauhan, D.S., Singh, G.V., Arora, A., Ekbal, A. & Bhattacharyya, P. (2022). An emoji-aware multitask framework for multimodal sarcasm detection. Knowledge Based System 257: 109924 (2022), Elsevier (IF: 8.038; h5 index: 107)
  42. Ghosal, T., Kumar, S., Bharti, P. K. & Ekbal, A. (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)
  43. Ghosh, S., Priyankar, A., Ekbal, A. & Bhattacharyya, P. (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)
  44. Firdaus, M., Shandilya, A., Ekbal, A. & Bhattacharyya, P. (2022). Being polite: Modeling politeness variation in a personalized dialog agent. IEEE Transactions on Computational Social Systems, Vol 10, No. 4, 1445-1464
  45. 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)
  46. Firdaus, M., Thangavelu, N., Ekbal, A. & Bhattacharyya, P. (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)
  47. Firdaus, M., Chauhan, H., Ekbal, A. & Bhattacharyya, P. (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)
  48. Kamila, S., Hasanuzzaman, M., Ekbal, A. & Bhattacharyya, P. (2022). Measuring Temporal Distance Focus From Tweets and Investigating its Association With Psycho-Demographic Attributes. In IEEE Transaction on Affective Computing 13(2): 1086-1097 (2022) (h5 index- 62; IF-16.3)
  49. Akhtar, S., Ghosal, D., Ekbal, A., Bhattacharyya, P. & Kurohashi, S. (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)
  50. Saikh, T., Ghosal, T., Mittal, A., Ekbal, A., Bhattacharyya, P. (2022). ScienceQA: a novel resource for question answering on scholarly articles. Int. J. Digit. Libr. 23(3): 289-301 (2022), Springer
  51. Ahmad, Z., Sujeeth, V. S. Ekbal, A. (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)
  52. Kumari, R., Ashok, N., Ghosal, T. & Ekbal, A. (2024) What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion. Information Processing and Management, Elsevier 59(1): 102740 (2022)
  53. Yadav, S., Jayashree, S. R., Saha, S. & Ekbal, A. (2022). Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework. In IEEE ACM Trans. Computational Biol. Bioinform. 19(2): 1105-1116 (2022)
  54. 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
  55. Gupta, D, Suman, S., Ekbal, A.(2021): Hierarchical deep multi-modal network for medical visual question answering. In: Expert Systems with Application, Elsevier, 164(1s):113993
  56. Firdaus, M., Thakur, N., Ekbal, A. (2021). Aspect-Aware Response Generation for Multimodal Dialogue System. In ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-33. (IF-3.971; h5-index: 38)
  57. 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)
  58. 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)
  59. 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)
  60. 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)
  61. Gupta, D., Suman, S. & Ekbal, A. (2021). Hierarchical deep multi-modal network for medical visual question answering. In Expert Syst. Appl. 164: 113993 (2021), Elsevier
  62. Firdaus, M., Shandilya, A.P. & Ekbal, A. (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)
  63. Yadav, S., Ramteke, P., Ekbal, A., Saha, S. & Bhattacharyya, P. (2020). Exploring Disorder-Aware Attention for Clinical Event Extraction. ACM Transactions on Multimedia Computing, Communications, and Applications, https://doi.org/10.1145/3372328
  64. Akhtar, S., Garg, T. & Ekbal, A. (2020). Multi-task Learning for Aspect Term Extraction and Sentiment Classification. In Neurocomputing, Elsevier, https://doi.org/10.1016/j.neucom.2020.02.093
  65. Kapil, P. & Ekbal, A. (2020). A deep neural network based multi-task learning approach to hate speech detection. Knowledge Based System, Elsevier, 210: 106458 (2020)
  66. Ghosh, S., Ekbal, A. & Bhattacharyya, P. (2020). A multitask framework to detect depression, sentiment and multi-label emotion from suicide notes. In Cognitive Computation, Springer, pp. 1-20
  67. Kamila, S., Hasanuzzaman, M., Ekbal, A. & Bhattacharyya, P. (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
  68. 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)
  69. Ahmad, Z., Jindal, R., Ekbal, A. & Bhattachharyya, P. (2020). Borrow from rich cousin: transfer learning for emotion detection using cross lingual embedding. In: Expert Syst. Appl., Elsevier, 139 (2020)
  70. Akhtar, S., Chauhan, D. & Ekbal, A. (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
  71. Gupta, D., Ekbal, A. & Bhattacharyya, P. (2020). A Deep Neural Network Framework for English Hindi Question Answering. In: ACM Trans. Asian & Low- Resource Lang. Inf. Processing, 19(2): 25:1-25:22 (2020)
  72. Akhtar, M.S., Ekbal, A., Cambria, E. (2020). How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble (2020). In: IEEE Computational Intelligence, Vol 15(1),64-75
  73. Banik, D., Ekbal, A., Bhattacharyya, P. & Bhattacharyya, S. (2019). Assembling translations from multi-engine machine translation outputs. Applied Soft Computing, Elsevier, 78: 230-239 (2019)
  74. Roy, S., Mondal, S., Ekbal, A. & Desarkar, M. (2019). Dispersion Ratio based Decision Tree Model for Classification. Expert Syst. Appl., Elsevier, 116: 1-9 (2019)
  75. Yadav, S., Ekbal, A. & Saha, S. (2019). Information theoretic-PSO-based feature selection: an application in biomedical entity extraction. Knowledge and Information System, Springer, 60(3): 1453-1478 (2019)
  76. Firdaus, M., Kumar, A., Ekbal, A. & Bhattacharyya, P. (2019). 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)
  77. Yadav, S., Ekbal, A., Saha, S., Kumar, A. & Bhattacharyya, P. (2019). Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein-protein interaction. Knowledge Based System, Elsevier, 166: 18-29 (2019)
  78. Akhtar, S., Sawant, P., Sen, S., Ekbal, A. & Bhattacharyya, P. (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
  79. Kamila, S., Hasanuzzaman, M., Ekbal, A. & Bhattacharyya, P. (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
  80. Akhtar, S., Ekbal, A., Narayan, S. & Singh, V. (2018). No, That Never Happened!! Investigating Rumors on Twitter. IEEE Intell. Syst. 33(5): 8-15 (2018)
  81. 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
  82. Alok, A. K., Saha, S. & Ekbal, A. (2017). Semi-supervised clustering for gene-expression data in multiobjective optimization framework. In Int. J. Machine Learning & Cybernetics, Springer, pp. 421-439
  83. Sikdar, U., Ekbal, A. and Saha, S. (2016). A Generalized Framework for Anaphora Resolution in Indian Languages. Knowledge based Systems, Elsevier, Vol. 109: 147-159
  84. Saha, S., Alok, A.K. & Ekbal, A. (2016). Brain image segmentation using semi-supervised clustering. In: Expert Syst. Appl. vol 52. pp. 50-63
  85. Alok, A, K., Saha, S. & Ekbal, A. (2016). Multi-objective semi-supervised clustering for automatic pixel classification from remote sensing imagery. In: Soft Computing, Springer, 4733-4751
  86. Ekbal, A. & Saha, S. (2016). Simultaneous feature and parameter selection using multiobjective optimization: application to named entity recognition. In: International Journal of Machine Learning and Cybernetics, 7, Springer, 597-611
  87. Ekbal, A. & Saha, S. (2015). Joint model for feature selection and parameter optimization coupled with classifier ensemble in chemical mention recognition. In: Knowledge Based Systems, 85, Elsevier, 37-51
  88. Alok, A, K., Saha, S. & Ekbal, A. (2015). A new semi-supervised clustering technique using multi-objective optimization. In: Applied Intelligence, 43(3), Springer, 633-661
  89. Saha, S., Spandana, R., Ekbal, A. & Bandyopadhyay, S. (2015). Simultaneous feature selection and symmetry-based clustering using multiobjective framework. In: Applied Soft Computing, 29, Elsevier, 479-486
  90. Sikdar, U, K., Ekbal, A., Saha, S., Poesio, O, U, M. (2015). Differential evolution-based feature selection technique for anaphora resolution. In: Soft computing, Springer, 2149-2161
  91. Ekbal, A. & Saha, S. (2011). Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach. In: ACM Transactions on Asian Language Information Processing (ACM TALIP), 10(2), ACM Digital Library, 1-37
  92. Ekbal, A. & Saha, S. (2012). Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition. In: International Journal on Document Analysis and Recognition (IJDAR), 15(2), Springer, 143-166
  93. Ekbal, A. & Saha, S. (2011). A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies. In: Expert System with Application, 6(10), Elsevier, 14760-14772
  94. Ekbal, A., Bonin, F., Saha, Sriparna., Stemle, E., Barbu, E., Cavulli, F., Girardi, C. & Poesio, M. (2011): Rapid Adaptation of NE Resolvers for Humanities Domains using Active Annotation. In: Journal for Language Technology and Computational Linguistics, 26(2), 39-51
  95. Ekbal, A. & Saha, S. (2011): Classifier Ensemble Selection using Genetic Algorithm for Named Entity Recognition. In: Research on Language and Computation, Springer, 8, 73-99
  96. Ekbal, A. & Bandyopadhyay, S. (2011). Named entity recognition in Bengali and Hindi using support vector machine. In: Lingvisticæ Investigationes, John Benjamins Publishing 34 (1), 35-67
  97. Ekbal, A. & Bandyopadhyay (2010). Named entity recognition using support vector machine: A language independent approach. In: International Journal of Electrical, Computer, and Systems Engineering, 4:2:2010, 155-170
  98. Ekbal, A., Naskar, S, K. & Bandyopadhyay, S., (2009): Named Entity Recognition and transliteration in Bengali. In: Named Entities: Recognition, classification and use, 30(1), John Benjamins Publishing, 97–116
  99. Ekbal, A. & Bandyopadhyay, S. (2008): A web-based Bengali news corpus for named entity recognition. Language Resource Evaluation, 42, Springer, 173-182.