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Recently Accepted Papers

AI-NLP-ML Group

Papers accepted for publication in 44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A).


Raghav Jain, Vaibhav Mavi, Anubhav Jangra, and Sriparna Saha, WIDAR - Weighted Input Document Augmented ROUGE. in 44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A)

Apoorva Singh, Arousha Nazir and Sriparna Saha, Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection. in 44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A)

M. Firdaus, N. Thakur, A. Ekbal (2021), Sentiment guided Aspect conditioned Dialogue Generation in a Multimodal System. in 44th European Conference on Information Retrieval (10-14 April 2022), ECIR 2022 (core ranking A)

Paper accepted for publication in IEEE Transactions on Affective Computing.


Diksha B., Rahul Grover, NAVEEN SAINIand Sriparna Saha, GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling. IEEE Transactions on Affective Computing (impact factor 10.506).

Paper accepted for publication in Machine Translation Journal, Springer.


K. Gupta, R. Haque, A. Ekbal, P. Bhattacharyya and A.Way (2021), Augmenting Training Data with Syntactic Phrasal-Segments in Low-Resource Neural Machine Translation. Machine Translation Journal, Springer.

Paper accepted for publication in Scientific Reports.


S. Kamila, M. Hasanuzzaman, A. Ekbal and P. Bhattacharyya (2021), Investigating the Impact of Emotion on Temporal Orientation in a Deep Multitask Setting. Scientific Reports.

Papers accepted for publication in 28th International Conference on Neural Information Processing (ICONIP-2021)


N. Prasad, S. Saha, P. Bhattacharyya (2021), Multimodal Hate Speech Detection from Videos. 28th International Conference on Neural Information Processing (ICONIP-2021).

M. Tiwari, R. K. Sanodiya, J. Mathew, and S. Saha (2021), A Particle Swarm Optimization based Feature Selection approach for Multi-source Visual Domain Adaptation. 28th International Conference on Neural Information Processing (ICONIP-2021).

N. Priya, A. Tiwari and S. Saha (2021), Context Aware Joint Modeling of Domain Classification, Intent Detection and Slot Filling with Zero-shot Intent Detection Approach. 28th International Conference on Neural Information Processing (ICONIP-2021).

K. Maity and S. Saha (2021), A Multi-task Model for Sentiment aided CyberbullyingDetection in Code-Mixed Indian Languages. 28th International Conference on Neural Information Processing (ICONIP-2021).

A. S. Das and S. Saha (2021), Self-supervised Image-to-Text and Text-to-Image Synthesis. 28th International Conference on Neural Information Processing (ICONIP-2021).

R. Kumar and S. Saha (2021), A multi-task learning scheme for Motor Imagery Signal Classification. 28th International Conference on Neural Information Processing (ICONIP-2021).

Paper accepted for publication in IEEE Symposium Series on Computational Intelligence.


R. Salgotra, S. Singh, U. Singh, S. Saha, and A. H Gandomi (2021), Hybridizing CuckooSearch with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites. IEEE Symposium Series on Computational Intelligence.

Paper accepted for publication in IEEE Access(h5-index: 164).


D. Bansal, N. Saini, S. Saha (2021), DCBRTS: A Classification-Summarization Approachfor Evolving Tweet Streams in Multiobjective Optimization Framework. IEEE Access(h5-index: 164).

Paper accepted for publication in Multimedia Tools and Applications(impact factor: 2.757).


S. Paul, S. Saha, and J. P. Singh (2021), COVID-19 and Cyberbullying: Deep EnsembleModels for Code-switched Languages to Identify Cyberbullying during the Pandemic. Multimedia Tools and Applications(impact factor: 2.757).

Paper accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics.


T. Prashanth, S. Saha, S. Basarkod, S. Aralihalli, S. S. Dhavala, S. Saha , R. Aduri (2021), LipGene: Lipschitz continuity guided adaptive learning rates for fast convergence on Microarray Expression Data Sets. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Paper accepted for publication in ACM Transactions on Asian and Low-Resource Language Information Processing.


S. Mishra, G. Rai, S. Saha , P. Bhattacharyya (2021), Efficient Channel Attention based Encoder-Decoder Approach for Image Captioning in Hindi. ACM Transactions on Asian and Low-Resource Language Information Processing.

Paper accepted for publication in IEEE Transactions on Computational Social Systems.


N. Saini, S. Saha, P. Bhattacharyya, S. Mrinal, S. Mishra (2021), On Multi-modal Microblog Summarization. IEEE Transactions on Computational Social Systems.

Paper accepted for publication in ACM Transactions on Information Systems (impact factor: 2.312).


Srivatsa R J, G. Dias, J. J. Andrew, S. Saha , F. MAUREL, S. FERRARI (2021), Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering. ACM Transactions on Information Systems (impact factor: 2.312).

Paper accepted for publication in Expert Systems with Applications journal (impact factor: 6.954) (accepted).


A. Singh, S. Saha, M. Hasanuzzaman (2021), Identifying Complaints based on Semi-Supervised Mincuts. Expert Systems with Applications journal (impact factor: 6.954) (accepted).

Paper accepted for publication in Multimedia Tools and Applications (impact factor: 2.313) (accepted).


C. Suman, R. Shyamkant Chaudhary, S. Saha, P. Bhattacharyya (2021), An Attention based Multi-Modal Gender Identification System for Social Media Users. Multimedia Tools and Applications (impact factor: 2.313) (accepted).

Paper accepted for publication in Information Processing and Management (IPM), Elsevier.


R. Kumari, Nischal A, T. Ghosal and A. Ekbal. (2022), What the fake? Probing misinformation detection standing on the shoulder of novelty and emotion. Information Processing and Management (IPM), Elsevier.

Paper accepted for publication in IEEE Transactions on Computational Social Systems (accepted).


S. Ghosh, A. Ekbal, P. 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.

Papers accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 2.428) (accepted).


P. Dutta, A. Prakash Patra, S. Saha (2021), DeePROG: Deep Attention-based Model for Diseased Gene Prognosis by Fusing Multi-omics Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

N. Arya, S. Saha (2021), Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Papers accepted for publication in IEEE Transactions on Computational Social Systems (accepted).


T. Saha, A. Upadhyaya, S. Saha, P. Bhattacharyya (2021), A Multi-task Multi-modal Ensemble Model for Sentiment and Emotion aided Tweet Act Classification. IEEE Transactions on Computational Social Systems.

C. Suman, A. Naman, S. Saha, P. Bhattacharyya (2021), A Multimodal Author Profiling System for Tweets. IEEE Transactions on Computational Social Systems.

Paper accepted for publication in European Physical Journal Special Topics (impact factor: 1.668) (accepted).


N. Saini, S. Saha (2021), Multi-objective Optimization Techniques: A Survey of the State-of-the-Art and Applications. European Physical Journal Special Topics.

Paper accepted for publication in IEEE Transactions on Emerging Topics in Computational Intelligence (impact factor: 4.62) (accepted).


R. Mahapatra, S. Saha, Carlos A. Coello Coello, A. Bhattacharya, Soma S. Dhavala, S. Saha (2021) AdaSwarm: Augmenting gradient-based optimizers in Deep Learning with Swarm Intelligence. IEEE Transactions on Emerging Topics in Computational Intelligence.

Paper accepted for publication in ACM Transactions on Asian and Low-Resource Language Information Processing (accepted).


T. Saha, D. Gupta, S. Saha, P. Bhattacharyya (2021). A Unified Dialogue Management Strategy for Multi-Intent Dialogue Conversations in Multiple Languages. ACM Transactions on Asian and Low-Resource Language Information Processing

Paper accepted for publication in Applied Intelligence (impact factor: 3.325) (accepted).


S. Mishra, N. Saini, S. Saha , P. Bhattacharyya (2021). Scientific Document Summarization in Multi-objective Clustering Framework. Applied Intelligence.

Paper accepted for publication in Plos One (h5 index: 175, impact factor: 2.74) (accepted).


A. Tiwari, T. Saha, S. Saha, S. Sengupta, A. Maitra, R. Ramnani, P. Bhattacharyya (2021). A Dynamic Goal Adapted Task-Oriented Dialogue Agent. Plos One.

Paper accepted for publication in IEEE Transactions on Computational Social Systems (accepted).


C. Suman, A. Raj, S. Saha, P. Bhattacharyya (2021). Authorship Attribution of Micro-text using Capsule Networks. IEEE Transactions on Computational Social Systems.

Papers accepted for publication in Knowledge-Based Systems (impact factor: 5.921) (accepted).


N. Arya, S. Saha (2021). Multi-Modal Advanced Deep Learning Architectures for Breast Cancer Survival Prediction. Knowledge-Based Systems.

D. Paul, A. Jain, S. Saha, J. Mathew (2021). Multi-objective PSO based Online Feature Selection for Multi-label Classification. Knowledge-Based Systems.

Paper accepted for publication in Pattern Recognition Letters (impact factor: 3.255) (accepted).


D. Paul, S. Saha, A. Kumar, J. Mathew (2021). Evolutionary Multi-objective Optimization-based Overlapping Subspace Clustering. Pattern Recognition Letters.

Paper accepted for publication in Wiley Transactions on Emerging Telecommunications Technologies (impact factor: 1.594)(accepted).


K. Jha, S. Saha, M. Tanveer (2021). Prediction of Protein-Protein Interactions using Stacked Auto-encoder. Wiley Transactions on Emerging Telecommunications Technologies.

Papers accepted for publication in Joint Conference on Digital Libraries (JCDL 2021) (Core Rank-A*).


A. Kumar, T. Ghosal and A. Ekbal. A Deep Neural Architecture for Decision-Aware Meta-Review Generation. JCDL 2021.

S. Kumar, T. Ghosal, P. Bharti, A. Ekbal. Sharing is Caring! Joint Multitask Learning Helps Aspect-Category Extraction and Sentiment Detection in Scientific Peer Reviews. JCDL 2021.

Paper accepted for publication in Information Processing and Management (IPM), Elsevier (IF-4.784, Core-A).


R. Kumari, Nischal A, T. Ghosal and A. Ekbal. Misinformation detection using multi-task learning with mutual learning for novelty detection and emotion recognition. Information Processing and Management (IPM), Elsevier.

Paper accepted for publication in ACM Transactions on Knowledge Discovery from Data (Impact Score: 5.78) (accepted).


Dipanjyoti Paul, Rahul Kumar, Sriparna Saha, and Jimson Mathew. Multi-objective Cuckoo Search based Streaming Feature Selection for multi-label Data set. ACM Transactions on Knowledge Discovery from Data.

Paper accepted for publication in Cognitive Computation, Springer (impact factor: 4.307).


Apoorva Singh, Sriparna Saha, Mohammed Hasanuzzaman, Kuntal Dey (2021). Multitask Learning for Complaint Identification and Sentiment Analysis. Cognitive Computation, Springer.

Paper accepted for publication in Applied Intelligence (impact factor: 3.325, h5-index: 42) (accepted).


N. Saini, S. Saha , P. Bhattacharyya (2020). Microblog Summarization using Self-adaptive Multi-objective Binary Differential Evolution. Applied Intelligence.

Paper accepted for publication in AAAI 2020.


M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation. AAAI 2020.

Paper accepted for publication in Cognitve Computation, Springer (impact factor: 4.307).


S. Ghosh, A. Ekbal and P. Bhattacharyya, (2020). A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes. Cogntive Computation, Springer.

Paper accepted for publication in ACM Transactions on Asian and Low-Resource Language Information Processing (accepted).


S. Mishra, R. Dhir, S. Saha, P. Bhattacharyya (2020). A Hindi Image Caption Generation Framework using Deep Learning. ACM Transactions on Asian and Low-Resource Language Information Processing (accepted).

Paper accepted for publication in Applied Soft Computing (impact factor: 5.472) (accepted).


K. Jha and S. Saha (2020). Incorporation of Multimodal Multiobjective Optimization in Designing a Filter based Feature Selection Technique. Applied Soft Computing (impact factor: 5.472) (accepted).

Papers accepted for publication in Nature Scientific Report.


K. Jha, S. Saha (2020). Amalgamation of 3D Structure and Sequence Information for Protein-Protein Interaction Prediction. Nature Scientific Report (impact factor: 4.120, h5-index: 178) (accepted)

Papers accepted for publication in Expert Systems with Applications.


C. Suman, S. Reddy, S. Saha , P. Bhattacharyya (2020). Why Pay More? A Simple and Efficient Named Entity Recognition System for Tweets. Expert Systems with Applications (impact factor: 5.452, h5-index: 111) (accepted).

N Saini, D. Bansal, S. Saha , P. Bhattacharyya (2020). Multi-Objective Multi-View based Search Result Clustering using Differential Evolution Framework. Expert Systems with Applications (impact factor: 5.452, h5-index: 111) (accepted).

Paper accepted for publication in Multimedia Systems.


S. Paul, S. Saha (2020). CyberBERT: BERT for Cyberbullying Identification. Multimedia Systems (impact factor: 1.563) (accepted).

Papers accepted for publication in COLING 2020.


D.Gupta, H. Chauhan, R. Akella, A. Ekbal and P. Bhattacharyya (2020). Reinforced Multi-task Approach for Multi-hop Question Generation. In Proceedings of COLING 2020 (Accepted)

M. Firdaus, H. Chauhan, A. Ekbal and P. Bhattacharyya (2020). MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations. Proceedings of COLING 2020 (Accepted).

Paper accepted for publication in EMNLP Findings 2020.


D. Gupta, A. Ekbal and P. Bhattacharyya (2020). A Semi-supervised Approach to Generate the Code-mixed Text using Pre-trained Encoder and Transfer Learning. Proceedings of EMNLP Findings 2020 (accepted).

Papers accepted for publication in AACL-IJCNLP 2020.


Mukuntha Narayanan Sundararaman, Zishan Ahmad, Asif Ekbal and Pushpak Bhattacharyya (2020). Unsupervised Aspect-Level Sentiment Controllable Style Transfer. In Proceedings of AACL-IJCNLP 2020 (Accepted).

Deepak Gupta, Pabitra Lenka, Asif Ekbal and Pushpak Bhattacharyya (2020). A Unified Framework for Multilingual and Code-Mixed Visual Question Answering (2020). In Proceedings of AACL-IJCNLP 2020 (Accepted).

Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal and Pushpak Bhattacharyya (2020). All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes. In Proceedings of AACL-IJCNLP 2020 (Accepted).

Paper accepted for publication in Knowledge based System, Elsevier.


P. Kapil and A. Ekbal. A Deep Neural Network based Multi-Task Learning Approach to Hate Speech Detection (2020). Knowledge based System, Elsevier

Paper accepted for publication in Computers & Electrical Engineering (impact factor: 2.663) journal.


Santosh Mishra, Rijul Dhir, Sriparna Saha, Pushpak Bhattacharyya, Amit Singh. Image Captioning in Hindi Language using Transformer Networks. Computers & Electrical Engineering (impact factor: 2.663) journal.

Paper accepted for publication in IEEE Journal of Biomedical and Health Informatics.


Swagarika Giri, Pratik Dutta, Parth Halani, Sriparna Saha (2020).MultiPredGO: Deep Multi-Modal Protein Function Prediction by Amalgamating Protein Structure, Sequence, and Interaction. IEEE Journal of Biomedical and Health Informatics (impact factor 5.180).

Papers accepted for publication in International Conference on Neural Information Processing (ICONIP) 2020.


Zishan Ahmad, Asif Ekbal, Shubhashis Sengupta, Anutosh Mitra, Roshni Rammani and Pushpak Bhattacharyya. Active Learning based Relation Classification for Knowledge Graph Construction from Conversation Data (2020). In Proceedings of ICONIP 2020.

Tanik Saikh, Arkadipta De, Dibyanayan Bandyopadhyay, Baban Gain, Asif Ekbal. A Neural Framework for English-Hindi Cross-Lingual Natural Language Inference (2020). In Proceedings of ICONIP 2020.

K. Jha, S. Saha, M. Khushi (2020). Protein-Protein Interactions Prediction based on Bi-directional Gated Recurrent Unit and Multimodal Representation. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

T. Saha, S. Chopra, S. Saha and P. Bhattacharyya (2020). Reinforcement learning based personalized neural response generation. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

D. Paul, S. Saha, J. Mathew (2020). Online Multi-objective Subspace Clustering for Streaming Data. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

N. Saini, S. Mansoori, S. Saha , P. Bhattacharyya (2020). Multi-tweet Summarization using Fusion of Two Neural Networks. International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020 (accepted). (Category A).

Paper accepted for publication in Cognitive Computation.


Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya. Towards Sentiment aware Multi-modal Dialogue Policy Learning using Hierarchical Reinforcement Learning. Cognitive Computation (impact factor: 4.980).

Paper accepted for publication in IEEE Transaction on Affective Computing.


M. Firdaus, H. Chouhan, A. Ekbal and P. Bhattacharyya (2020). EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System. IEEE Transaction on Affective Computing (Impact Factor: 7.512).

Paper accepted for publication in Computers in Biology and Medicine.


Pratik Dutta, Piyush Mishra, Sriparna Saha. Incomplete Multi-view Gene Clustering with Data Regeneration using Shape Boltzmann Machine. Computers in Biology and Medicine (impact factor: 3.434) (accepted).

Paper accepted for publication in Swarm and Evolutionary Computation.


R. Salgotra, U. Singh, S. Saha, A. H. Gandomi (2020). Self Adaptive Cuckoo Search: Analysis and Experimentation. Swarm and Evolutionary Computation (impact factor: 6.912) (accepted).

Paper accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics.


S. Yadav, S. Ramesh, S. Saha , A. Ekbal (2020). Relation Extraction from Biomedical and ClinicalText: Unified Multitask Learning Framework. IEEE/ACM Transactions on Computational Biology and Bioinformatics (impact factor: 3.015)(accepted).

Paper accepted for publication in IEEE Transactions ond Computational Social Systems.


Tulika Saha, Srivatsa Ramesh, Sriparna Saha, Pushpak Bhattacharyya. BERT-Caps: A Transformer based Capsule Network for Tweet Act Classification" (2020). IEEE Transactions on Computational Social Systems.

Paper accepted for publication in Neurocomputing 2020.


M. S. Akhtar, T. Garg, and A. Ekbal. Multi-task Learning for Aspect Term Extraction and Aspect Sentiment Classification. Neurocomputing.

Paper accepted for publication in EAMT 2020.


Kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya and Andy Way. Modelling Source- and Target-Language Syntactic Information as conditional Context in Interactive Neural Machine Translation. EAMT 2020.

Paper accepted for publication in Scientific Reports 2020.


Sayantan Mitra, Sriparna Saha, and Mohammed Hasanuzzaman. 2020. Multi-view Clustering for Multi-Omics Data Using Unified Embedding. Scientific Report (h5 index 178, impact factor: 4.120) (accepted).

Papers accepted for publication in IEEE International Conference on Pattern Recognition 2020.


Sayantan Mitra, Sriparna Saha. A Multi-task Multi-view based Multi-objective Clustering Algorithm. IEEE International Conference on Pattern Recognition (h5-index 38/ h5-median: 56).

NAVEEN SAINI, SUSHIL KUMAR, Sriparna Saha, Pushpak Bhattacharyya. Exploring Graph-based Feature for Scientific Document Summarization using Evolutionary Framework. IEEE International Conference on Pattern Recognition (h5-index 38/ h5-median: 56).

Shweta Yadav, Joy Prakash Sain, Amit Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya . Assessing the Severity of Health States based on Social Media Posts. IEEE International Conference on Pattern Recognition (h5-index 38/ h5-median: 56).

Paper accepted for publication in IEEE Computational Intelligence Magazine (CIM) 2020.


M. S. Akhtar, A. Ekbal, and E. Cambria. How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble. IEEE Computational Intelligence Magazine (CIM).

Paper accepted for publication in ACM Transactions on Knowledge Discovery and Data (TKDD) 2020.


M. S. Akhtar, D. S. Chauhan, and A. Ekbal. A Deep Multi-Task Contextual Attention Framework for Multi-modal Affect Analysis. ACM Transactions on Knowledge Discovery and Data (TKDD).

Paper accepted for publication in Multimedia Tools and Applications 2020


P. Dutta, S. Saha , S. Naskar (2020). A Multi-objective based PSO Approach for Inferring Pathway Activity utilizing Protein Interactions. Multimedia Tools and Applications (impact factor: 2.101) (accepted).

Paper accepted for publication in PLOS ONE 2020.


Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya. Towards Sentiment aided Dialogue Policy Learning for Multi-intent Conversations using Hierarchical Reinforcement Learning. PLOS ONE (h5 index: 176, impact factor: 2.776) .

Paper accepted for publication in Expert Systems and Applications 2020.


Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya (2020). Towards Integrated Dialogue Policy Learning for Multiple Domains and Intents using Hierarchical Deep Reinforcement Learning. Expert Systems with Applications (impact factor: 4.292, h5-index: 105) (accepted).

Paper accepted for publication in Soft Computing Journal 2020.


Naveen Saini, Sriparna Saha, Sahil Mansoori, Pushpak Bhattacharyya (2020). Fusion of self-organizing map and granular self-organizing map for microblog summarization. Soft Compution, 2020 (accepted) (Impact Factor: 2.784).

Paper accepted for publication in Multimedia Tools and Applications 2020.


Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya (2020). A Hierarchical Approach for Efficient Multi-Intent Dialogue Policy Learning. Multimedia Tools and Applications, 2020 (accepted).

Paper accepted for publication in IEEE Transactions on Affective Computing 2020.


Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya (2020). Measuring Temporal Distance Focus from Tweets and Investigating its Association with Psycho-demographic Attributes. IEEE Transactions on Affective Computing, 2020 (Impact Factor: 7.512).

Paper accepted for publication in Expert Systems with Applications 2020.


Dipanjyoti Paul, Sriparna Saha, Jimson Mathew (2020). Improved Subspace Clustering Algorithm using Multi-objective Framework and Subspace Optimization. Expert Systems with Applications, 2020 (Impact Factor: 4.292).

Papers accepted for publication in IEEE-CEC 2020


N. Saini, S. Kumar, S. Saha, and P. Bhattacharyya (2020). Mining Graph-based Features in Multi-objective Framework for Microblog Summarization. IEEE-CEC 2020 (h5 INDEX - 66).

S. J. Giri and S. Saha (2020). Multi-View Gene Clustering using Gene Ontology and Expression-based Similarities. IEEE-CEC 2020 (h5 INDEX - 66).

R. Salgotra, U. Singh, S. Saha and A. H. Gandomi (2020). `Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems. IEEE-CEC 2020 (h5 INDEX - 66).

Paper accepted for publication in Cognitive Computation Journal 2020.


Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya (2020). Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework. Cognitive Computation Journal, 2020 (Impact Factor: 4.287).

Mauajama Firdaus, Hitesh Golchha, Asif Ekbal, Pushpak Bhattacharyya (2020). A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling. Cognitive Computation Journal, 2020 (Impact Factor: 4.287).

Papers accepted for publication in ACL 2020


Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya (2020). Towards Emotion-aided Multi-modal Dialogue Act Classification. ACL 2020 (Core Rank : A*).

Pratik Dutta and Sriparna Saha (2020). Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification. ACL 2020 (Core Rank : A*).

Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, Pushpak Bhattacharyya (2020). Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis. ACL 2020 (Core Rank : A*).

Papers accepted for publication in IJCNN 2020


C. S. Kanani, S. Saha and P. Bhattacharyya (2020). `Improving Diversity and Reducing Redundancy in Paragraph Captions. IJCNN 2020 (Core Rank : A).

S. Sridhar, S. Saha, A. Shaikh, R. Yedida and S. Saha (2020). Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. IJCNN 2020 (Core Rank : A).

Mauajama Firdaus, Naveen Thangavelu, Asif Ekbal, Pushpak Bhattacharyya (2020). Persona aware Response Generation with Emotions. IJCNN 2020 (Core Rank : A).

Tanik Saikh, Haripriya B, Asif Ekbal and Pushpak Bhattacharyya (2020). A Deep Transfer Learning Approach for Fake News Detection. IJCNN 2020 (Core Rank : A).

Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya (2020). Transfer Learning based Task-oriented Dialogue Policy for Multiple Domains using Hierarchical Reinforcement Learning. IJCNN 2020 (Core Rank : A).

Tulika Saha, Aditya Prakash Patra, Sriparna Saha, Pushpak Bhattacharyya (2020). A Transformer based Approach for Identification of Tweet Acts. IJCNN 2020 (Core Rank : A).

S. Sangwan, M. S. Akhtar, P. Behera, and A. Ekbal (2020).I didn’t mean what I wrote! Exploring Multimodality for Sarcasm Detection. IJCNN 2020 (Core Rank : A).

Zishan Ahmad, Mukuntha N S, Asif Ekbal and Pushpak Bhattacharyya (2020). Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation. IJCNN 2020 (Core Rank : A).

Kamal Kumar Gupta, Rejwanul Haque, Asif Ekbal, Pushpak Bhattacharyya and Andy Way (2020). Syntax-Informed Interactive Neural Machine Translation. IJCNN 2020 (Core Rank : A).

Paper accepted for publication in Natural Language Engineering.


Sukanta Sen, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya and Andy Way (2020). Neural machine translation of low-resource languages using SMT phrase pair injection. Natural Language Engineering.

Papers accepted for publication in LREC 2020


Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya (2020). A Platform for Event Extraction in Hindi. LREC 2020.

Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2020). CEASE, a Corpus of Emotion Annotated Suicide notes in English. LREC 2020.

Mamta, Asif Ekbal, Pushpak Bhattacharyya ,Shikha Srivastava, Alka Kumar, Tista Saha (2020). Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation. LREC 2020.

Tanik Saikh, Asif Ekbal and Pushpak Bhattacharyya (2020). Dataset for Machine Reading Comprehension on Scholarly Articles. LREC 2020.

Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2020). Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent. LREC 2020.

Papers accepted for publication in ECIR 2020


A. Jangra, A. Jatowt, M. Hasanuzzaman, and S. Saha (2019). Text-Image-Video Summary Generation using Joint Integer Linear Programming. ECIR 2020 (Core Ranking: A).

Paper accepted for publication in Knowledge Based Systems Journal, 2019.


Mauajama Firdaus, Ankit Kumar, Asif Ekbal, Pushpak Bhattacharyya (2019). A Multi-Task Hierarchical Approach for Intent Detection and Slot Filling. Knowledge Based Systems Journal, 2019 (Impact Factor: 5.10).

Paper accepted for publication in Scientific Reports- Nature, 2019.


Pratik Dutta, Sriparna Saha, Sanket Pai and Aviral Kumar (2019). Protein-protein Interaction based Generative Model for Improving Gene Clustering. Scientific Reports- Nature, 2019 (Impact Factor: 4.15).

Papers accepted for publication in ICON 2019


Tanik Saikh, Arkadipta De, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Learning Approach for Automatic Detection of Fake News. ICON 2019.

Arjun Roy, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Ensemble Framework for Fake News Detection and Multi-Class Classification of Short Political Statements. ICON 2019.

Zishan Ahmad, Deeksha Varshney, Asif Ekbal and Pushpak Bhattacharyya (2019). Multi-linguality helps: Event-Argument Extraction for Disaster Domain in Cross-lingual and Multi-lingual setting. ICON 2019.

Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal and Pushpak Bhattacharyya (2019). A Multi-task Model for Multilingual Trigger Detection and Classification. ICON 2019.

Paper accepted for publication in NLE 2019.


Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal and Pushpak Bhattacharyya (2019). Is Your Document Novel? Let Attention Guide You. An Attention-Based Model For Document Level Novelty Detection, NLE 2019.

Paper accepted for publication in Plos One 2019 (impact factor: 2.76, h5 index: 176).


N. Saini, S. Saha, D. Chakraborty, P. Bhattacharyya (2019). Extractive single document summarization using binary differential evolution: Optimization of difference sentence quality measures, Plos One 2019.

Paper accepted for publication in Swarm and Evolutionary Computation 2019 (impact factor: 6.330)


S. Mishra, S. Saha, S. Mondal, Carlos A. Coello Coello (2019). Divide-and-Conquer Based Non-dominated Sorting with Reduced Comparisons, Swarm and Evolutionary Computation 2019.

Paper accepted for publication in IEEE Intelligent Systems 2019 (impact factor: 4.464)


N. Saini, S. Saha, V. Potnuru, R. Grover, P. Bhattacharyya (2019). Figure-Summarization: A Multiobjective optimization based approach, IEEE Intelligent Systems 2019.

Papers accepted for publication in ICONIP 2019 (CORE rank A)


Kumar Shikhar Deep, Asif Ekbal and P. Bhattacharyya (2019). What a Dialogue! A Deep Neural Framework for Contextual Affect Detection. ICONIP 2019.

Suyash Sangwan, DS. Chauhan, M. S. Akhtar, A. Ekbal and P. Bhattacharyya (2019). Multi-task Gated Contextual Cross-modal Attention Framework for Sentiment and Emotion Analysis. ICONIP 2019.

M. Firdaus, A. Kumar, A. Ekbal and P. Bhattacharyya (2019). Multi-lingual Multi-intent Detection for Natural Language Understanding in Dialogue Systems. ICONIP 2019.

DS. Chauhan, R. Kumar and A. Ekbal (2019). Attention based Shared Representation for Multi-Task Stance Detection and Sentiment Analysis. ICONIP 2019.

Naveen Saini, Sriparna Saha, Anurag Kumar, Pushpak Bhattacharyya (2019), Multi-document summarization using adaptive composite differential evolution. ICONIP 2019.

Naveen Saini, Rahul Grover, Sriparna Saha, Pushpak Bhattacharyya (2019), Scientific document clustering using granular self-organizing map. ICONIP 2019.

Dipanjyoti Paul, Abhishek Kumar, Sriparna Saha, Jimson Mathew (2019), Evolutionary based subspace clustering in multi-objective optimization framework. ICONIP 2019.

Paper accepted for publication in IEEE Transactions on Affective Computing.


M. S. Akhtar, D. Ghosal, A. Ekbal, P. Bhattacharyya, and S. Kurohashi. All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework. IEEE Transactions on Affective Computing 2019.

Paper accepted for publication in IEEE Transactions on Computational Social Systems 2019


Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya (2019). Multi-objective Based Approach for Microblog Summarization, IEEE Transactions on Computational Social Systems.

Paper accepted for publication in ACM Transactions on Knowledge Discovery from Data 2019


Sayantan Mitra, Mohammed Hasanuzzaman, Sriparna Saha (2019). Unified Multi-view Clustering Algorithm using Multi-objective Optimization Coupled with Generative Model, ACM Transactions on Knowledge Discovery from Data.

Paper accepted for publication in ACM Transactions on Multimedia Computing Communications and Applications 2019


Naveen Saini, Sriparna Saha, Pushpak Bhattacharyya, Himanshu Tuteja (2019). Textual Entailment based Figure Summarization for Biomedical Articles. ACM Transactions on Multimedia Computing Communications and Applications.

Paper accepted for publication in Springer Applied Intelligence 2019


Naveen Saini, Sriparna Saha, Chirag Soni, Pushpak Bhattacharyya (2019). Automatic Evolution of Bi-clusters from Microarray Data using Self-Organized Multi-objective Evolutionary Algorithm. Springer Applied Intelligence.

Paper accepted for publication in Expert Systems with Applications 2019


Ahmad, Zishan, Raghav Jindal, Asif Ekbal, and Pushpak Bhattachharyya (2019). Borrow from Rich Cousin: Transfer Learning for Emotion Detection using Cross Lingual Embedding. Expert Systems with Applications (Impact Factor: 4.292f).

Paper accepted for publication in EMNLP 2019


Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2019). Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis, EMNLP 2019.

Paper accepted for publication in ACM Transaction on Asian and Low-resource Language Information Processing 2019


Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Neural Network Framework for English Hindi Question Answering. ACM Transaction on Asian and Low-resource Language Information Processing (ACM TALLIP).

Papers accepted for publication in ACL 2019


Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhattacharyya (2019). Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders. ACL 2019.

Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya (2019). A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining. ACL 2019.

Hardik Chauhan, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (2019). Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System. ACL 2019.

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). DeepSentiPeer: Harnessing Sentiment in Review Texts To Recommend Peer Review Decisions. ACL 2019.

Papers accepted for publication in IEEE/ACM TCBB 2019


Pratik Dutta, Sriparna Saha, Saraansh Chopra, and Varnika Miglani (2019). Ensembling of Gene Clusters utilizing Deep Learning and Protein-protein Interaction Information IEEE/ACM TCBB.

Papers accepted for publication in PLoS One 2019


Sayantan Mitra, Sriparna Saha (2019). A Multiobjective Multi-view Cluster Ensemble Technique: Application in Patient Subclassification PLoS One.

Papers accepted for publication in NLDB 2019


Tanik Saikh, Amit Anand, Asif Ekbal and Pushpak Bhattacharyya (2019). A Novel Approach towards Fake News Detection: Deep Learning Augmented with Textual Entailment Features. NLDB, 2019.

Papers accepted for publication in IJCNN 2019


Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya (2019). Tweet Act Classification: A Deep Learning based Classifier for Recognizing Speech Acts in Twitter. IJCNN 2019 at Budapest, Hungary (CORE rank A/H-Index: 31).

Tulika Saha, Saurabh Srivastava, Mauajama Firdaus, Sriparna Saha, Asif Ekbal, Pushpak Bhattacharyya (2019). Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification. IJCNN 2019 at Budapest, Hungary (CORE rank A/H-Index: 31).

Tirthankar Ghosal, Abhishek Shukla, Asif Ekbal and Pushpak Bhattacharyya (2019). To Comprehend the New: On Measuring the Freshness of a Document. IJCNN 2019 at Budapest, Hungary (CORE rank A/H-Index: 31).

Papers accepted for publication in JCDL 2019


Tirthankar Ghosal, Ashish Raj, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). A Deep Multimodal Investigation To Determine the Appropriateness of a Scholarly Submission. JCDL 2019 (CORE rank A*).

Tirthankar Ghosal, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya and Ravi Sonam (2019). Is the Paper Within Scope? Are You Fishing in the Right Pond? JCDL 2019 (CORE rank A*).

Tirthankar Ghosal, Debomit Dey, Avik Dutta, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). A Multiview Clustering Approach To Identify Out-of-Scope Submissions. JCDL 2019 (CORE rank A*).

Tirthankar Ghosal, Ananya Chakraborty, Ravi Sonam, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya (2019). Incorporating Full Text and Bibliographic Features to Improve Scholarly Journal Recommendation. JCDL 2019 (CORE rank A*).

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya (2019). A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes. JCDL 2019 (CORE rank A*).

Papers accepted for publication in NAACL 2019


Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, and Pushpak Bhattacharyya (2019). Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. In NAACL:HLT-2019, June 2019, Minneapolis, MN, USA. (Accepted).

Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya (2019). Courteously Yours: Inducing courteous behaviour in Customer Care responses using Reinforced Pointer Generator Network. In NAACL:HLT-2019, June 2019, Minneapolis, MN, USA. (Accepted).

Papers accepted for publication in CICLing 2019


Kumar Shikhar Deep, Md Shad Akhtar, Asif Ekbal, and Pushpak Bhattacharyya (2019). Related Tasks can Share! A Multi-task Framework for Affective language, in CICLing 2019, April 2019, La Rochelle, France (Accepted).

Sukanta Sen, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya, Andy Way (2019). Take Help from Elder Brother: Old to Modern English NMT with Phrase Pair Feedback, in CICLing 2019, April 2019, La Rochelle, France (Accepted).

Arjun Roy, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya (2019). A Deep Ensemble Framework for Fake News Detection and Classification, in CICLing 2019, April 2019, La Rochelle, France (Accepted).

Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya and Jimson Mathew (2019). Event-Argument Linking in Hindi for Information Extraction in Disaster Domain, in CICLing 2019, April 2019, La Rochelle, France (Accepted).

Zishan Ahmad, Deeksha Varshney, Asif Ekbal, Pushpak Bhattacharyya (2019). Multilingual Event Identification in Disaster Domain, in CICLing 2019, April 2019, La Rochelle, France (Accepted).

Rijul Dhir, Santosh Kumar Mishra, Sriparna Saha, Pushpak Bhattacharyya (2019). A Deep Attention based Framework for Image Caption Generation in Hindi Language, in CICLing 2019, April 2019, La Rochelle, France (Accepted).

Debajyoty Banik, Asif Ekbal, and Pushpak Bhattacharyya (2019). Two-phased Architecture for Dynamic Language Model. CICLing 2019, April 2019, La Rochelle, France (Accepted).

Suyash Sangwan, Raksha Sharma, Girish Palshikar, Asif Ekbal (2019). Cold is a Disease and D-cold is a Drug: Identifying Biological Types of Entities in the Biomedical Domain, in CICLing 2019, April 2019, La Rochelle, France (Accepted).

Tanik Saikh, Kingshuk Basak, Asif Ekbal and Pushpak Bhattacharyya (2019). "News Title can be Deceptive”: Title Body Consistency Detection for News Articles using Text Entailment, CICLing 2019, April 2019, La Rochelle, France (Accepted).

Prashant Kapil, Asif Ekbal and Dipankar Das (2019). "Investigating Deep Learning Approaches for Hate Speech Detection in Social Media, CICLing 2019, April 2019, La Rochelle, France (Accepted).

Papers accepted for publication in PLoS One 2019


Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal and Pushpak Bhattacharyya (2019). Resolution of grammatical tense into actual time, and its application in Time Perspective study in the tweet space PLoS One (h5 index: 180).

Papers accepted for publication in IEEE Journal of Biomedical and Health Informatics 2019


Pratik Dutta, Sriparna Saha and Saurabh Gulati (2019). Graph-based Hub Gene Selection Technique using Protein Interaction Information: Application to Sample Classification IEEE Journal of Biomedical and Health Informatics.

Papers accepted for publication in ICON 2018


Debajyoty Banik, Asif Ekbal, Pushpak Bhattacharyya (2018). WupLeBleu: The Word-net Based Evaluation Metric for Machine Translation. ICON 2018.

Zishan Ahmad, Sovan Kumar Sahoo, Asif Ekbal and Pushpak Bhattacharyya (2018). A Deep Learning Model for Event Extraction and Classification in Hindi for Disaster Domain. ICON 2018

Papers accepted for publication in IEEE Intelligent Systems 2018


Md Shad Akhtar, Asif Ekbal, Sunny Narayan and Vikram Singh (2018). No that never happened!! Investigating Rumours in Twitter. IEEE Intelligent Systems, vol. 33, no. 5, pages 8-15.

Papers accepted for publication in ACM Transactions on. Asian and Low-Resource Language Information Processing 2018


Sabyasachi Kamila, Mohammad Hasanuzzaman, Asif Ekbal and Pushpak Bhattacharyya (2018). Tempo-HindiWordNet: A Lexical Knowledge-base for Temporal Information Processing, ACM TALLIP 2018.

Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya (2018). Improving Word Embedding Coverage in Less-resource Language through Multi-linguality and Cross-linguality: A Case Study with Aspect based Sentiment Analysis, ACM TALLIP 2018.

EMNLP 2018 accepts the following two papers


Deepanway Ghosal, Md Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya (2018). Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. In EMNLP 2018.

Navonil Majumder, Soujanya Poria, Md Shad Akhtar, Erik Cambria, Alexander Gelbukh and Asif Ekbal (2018). Modeling Inter-Aspect Relation in Aspect-Based Sentiment Analysis. In EMNLP 2018.

Paper accepted for publication in ICONIP 2018


Deepanway Ghosal, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya. Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction. ICONIP-2018.

Pratik Dutta, Sriparna Saha and Agni Besh Chauhan. Predicting Degree of Relevance of Pathway Markers from Gene Expression Data: A PSO Based Approach. ICONIP-2018.

Mauzama Firdaus, Shobhit Bhatnagar, Asif Ekbal and Pushpak Bhattacharyya. A Deep Learning based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding. ICONIP-2018.

Tulika Saha, Dhawal Gupta, Sriparna Saha and Pushpak Bhattacharyya. Reinforcement Learning based Dialogue Management Strategy. ICONIP-2018.

Tulika Saha, Sriparna Saha and Pushpak Bhattacharyya. Exploring Deep Learning Architectures coupled with CRF based Prediction for Slot-Filling. ICONIP-2018.

Paper accepted for publication in CoNLL 2018


Deepak Gupta, Pabitra Lenka, Asif Ekbal and Pushpak Bhattacharyya (2018). Code-Mixed Question Generation and a Neural Framework for Code-Mixed Question Answering. CoNLL-2018 (Accepted)-Core Rank A.

Paper accepted for publication in IEEE/ACM Transactions on Computational Biology and Bioinformatics 2018


S. Acharya, S. Saha, P. Pradhan (2018): Multi-factored gene-gene proximity measures exploiting biological knowledge extracted from Gene Ontology : application in gene clustering, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Paper accepted for publication in Swarm and Evolutionary Computation Journal 2018


Sumit Mishra, Samrat Mondal, Sriparna Saha and Carlos A. Coello Coello, "GBOS: Generalized Best Order Sort Algorithm for Non-dominated Sorting", in Swarm and Evolutionary Computation 2018.

Paper accepted for publication in PRICAI 2018


Mauzama Firdaus, Shobhit Bhatnagar, Asif Ekbal and Pushpak Bhattacharyya, "Intent Detection for Spoken Language Understanding using a Deep Ensemble Model", in PRICAI 2018.

Paper accepted for publication in Knowledge and Information Systems Journal 2018


Shweta Yadav, Asif Ekbal, Sriparna. Saha, "Information Theoretic-PSO based Feature Selection: An Application in Biomedical Entity Extraction", in Knowledge and Information Systems Journal 2018.

Paper accepted for publication in Information Sciences Journal 2018


R. Sengupta and Sriparna Saha, "Reference Point based Archived Many Objective Simulated Annealing", in Information Sciences Journal 2018.

Paper accepted for publication in Soft Computing Journal 2018


Sudipta Acharya, Sriparna Saha , Pracheta Sahoo, "Bi-clustering of Microarray Data using a Symmetry based Multi-objective Optimization Framework", in Soft Computing Journal 2018.

Papers accepted for publication in COLING 2018


Deepak Gupta, Rajkumar Pujari, Asif Ekbal, Pushpak Bhattacharyya, Anutosh Maitra, Tom Jain and Shubhashis Sengupta, "Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy", in COLING 2018.

Sayantan Mitra, Mohammed Hasanuzzaman and Sriparna Saha, "Incorporating Deep Visual Features into Multiobjective based Multi-view Search Result Clustering", in COLING 2018.

3. Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Srinivasa Satya Sameer Kumar Chivukula and Georgios Tsatsaronis, "Novelty Goes Deep. A Deep Neural Solution To Document Level Novelty Detection", in COLING 2018.

Paper accepted for publication in WOSP 2018


Tirthankar Ghosal, Ravi Sonam, Sriparna Saha, Asif Ekbal and Pushpak Bhattacharyya, "Investigating Domain Features For Scope Detection and Classification of Scientific Articles", in WOSP 2018.

Papers accepted for publication in JCDL 2018


Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya, "Investigating Impact Features in Editorial Pre-Screening of Research Papers", in JCDL 2018.

Tirthankar Ghosal, " Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review", in JCDL 2018.

Paper accepted for publication in IJCNN 2018


Naveen Saini, Sriparna Saha and Pushpak Bhattacharyya, "Cascaded SOM: An Improved Technique for Automatic Email Classificatio", in IJCNN 2018.

Paper accepted for publication in NAACL-HLT 2018


Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal and Pushpak Bhattacharyya. "Solving Data Sparsity for Aspect based Sentiment Analysis using Cross-linguality and Multi-linguality.", in NAACL-HLT 2018.

Sabyasachi Kamila, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya and Andy Way. "Fine-grained Temporal Orientation and its Relationship with Psycho-demographic Correlates", in NAACL-HLT 2018.

Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya, "Multi-task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment", in NAACL-HLT 2018.

Paper accepted for publication in CICLing 2018


Tanik Saikh, Debajyoty Banik, Asif Ekbal and Pushpak Bhattacharyya, "Machine Translation Evaluation Metrics for Recognizing Textual Entailment.", in CICLing 2018.

Tanik Saikh, Sudip Kumar Naskar, Asif Ekbal, "Recognizing Textual Entailment Using Weighted Dependency Relations.", in CICLing 2018.

Deepak Gupta, Sarah Kohail and Pushpak Bhattacharyya, "Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering.", in CICLing 2018.

Paper accepted for publication in LREC 2018


Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya. "TAP-DLND 1.0: A Corpus for Document Level Novelty Detection.", in LREC 2018.

Deepak Gupta, Surabhi Kumari, Asif Ekbal and Pushpak Bhattacharyya. "MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi.", in LREC 2018.

Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya. "A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text.", in LREC 2018.

Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya. "Medical Sentiment Analysis using Social Media: Towards building a Patient Assisted System.", in LREC 2018.

Sabyasachi Kamila, Asif Ekbal, and Pushpak Bhattacharyya. "Sentence Level Temporality Detection using an Implicit Time-sensed Resource.", in LREC 2018.

Paper accepted for publication in TKDD, 2017


Sriparna Saha, Sayantan Mitra, Stefan Kramer, "Exploring Multiobjective Optimization for Multi-view Clustering", ACM Transactions on Knowledge Discovery from Data (accepted).

Paper accepted for publication in IEEE JBHI, 2017


Sriparna Saha , Sudipta Acharya, Kavya K, Saisree (2017): Simultaneous Clustering and Feature Weighting using Multiobjective Optimization for Identifying Functionally Similar miRNAs, IEEE Journal of Biomedical and Health Informatics (accepted) (impact factor: 3.451).

Paper accepted for publication in BMC Bioinformatics, 2017


Sudipta Acharya, Sriparna Saha, N. Nikhil (2017): Unsupervised gene selection using biological knowledge : application in sample clustering, BMC Bioinformatics (accepted) (impact factor: 2.448, h5-index: 62).

Papers accepted for publication in ICON, 2017


Tanik Saikh, Tirthankar Ghosal, Asif Ekbal and Pushpak Bhattacharyya, "Document Level Novelty Detection : Textual Entailment Lends a Helping Hand", ICON, 2017.

Sumit Asthana and Asif Ekbal, "Supervised Methods For Ranking Relations In Web Search", ICON, 2017.

Paper accepted for publication in ICONIP, 2017


Naveen Saini, S. Chourasia, Sriparna Saha and Pushpak Bhattacharyya, "A Self Organizing Map based Multi-objective Framework for Automatic Evolution of Clusters", ICONIP, 2017.

Paper accepted for publication in Computers in Biology and Medicine Journal, 2017


Pratik Dutta, Sriparna Saha, "Fusion of expression values and protein interaction information using multi-objective optimization for improving gene clustering", Computers in Biology and Medicine(impact factor: 1.836), 2017.

Paper accepted for publication in MT Summit Conference, 2017


Sabyasachi Kamila, Sukanta Sen, Mohammad Hasanuzzaman, Asif Ekbal, Andy Way and Pushpak Bhattacharyya, "Temporality as Seen through Translation: A Case Study on Hindi Texts", MT Summit, 2017.

Paper accepted for publication in Soft Computing Journal, Springer


Shweta Yadav, Asif Ekbal and Sriparna Saha, "Feature Selection for Entity Extraction from Multiple Biomedical Corpora: A PSO based Approach", Soft Computing Journal, Springer, 2017.

Paper accepted for publication in EMNLP, 2017


Shad Akhtar, Abhishek Kumar, Deepanay Ghosal, Asif Ekbal and Pushpak Bhattacharyya, "A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis", EMNLP, 2017.

Paper accepted for publication in Knowledge-Based Systems, Elsevier


Shad Akhtar, Deepak Gupta, Asif Ekbal and Pushpak Bhattacharyya. "Feature Selection and Ensemble Construction: A Two-step Method for Aspect Based Sentiment Analysis", Knowledge-Based Systems, Elsevier, 2017.

Paper accepted for publication in NLDB 2017


Shad Akhtar, Sarah Kohail, Amit Kumar, Asif Ekbal and Chris Biemann, "Feature Selection using Multiobjective Optimization for Aspect based Sentiment Analysis.", in NLDB, 2017.

Amit Majumder, Asif Ekbal and Sudip Kumar Naskar, "Feature Selection and Class-Weight tuning using Genetic Algorithm for Bio-molecular Event Extraction.", in NLDB, 2017.

Mohammed Arif Khan, Eneldo Loza Mencía, Asif Ekbal and Johannes ürnkranz. "Multi-objective Optimisation based Feature Selection Technique for Multi-Label Sentiment Analysis.", in NLDB, 2017.

Paper accepted for publication in ACL 2017


Mohammad Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha and Asif Ekbal. "Temporal Orientation of Tweets for Predicting Income of Users", in ACL, 2017.

Paper accepted for publication in CICLING 2017


Tanik Saikh, Sudip Kumar Naskar, Asif Ekbal, Sivaji Bandyopadhyay. "Textual Entailment Using Machine Translation Evaluation Metrics", in CICLING, 2017.

Paper accepted for publication in EACL 2017


S. Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection.", in EACL, 2017.

Paper accepted for publication in ICON-2016


D. Banik, S. Sen, Asif Ekbal, Pushpak Bhattacharyya, "Can SMT and RBMT improve each other's performance? An Experiment with English-Hindi Translation ", in ICON, 2016.

Shweta, A. Kumar, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "A Recurrent Neural Network Architecture for De-identifying Clinical Records", in ICON, 2016.

Deepak Gupta, A. Lamba, Asif Ekbal and Pushpak Bhattacharyya, "Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals", in ICON, 2016.

A. Majumder, Asif Ekbal, S. K. Naskar, "Biomolecular Event Extraction using a Stacked Generalization based Classifier", in ICON, 2016.

Shuvam Kumar, Anwesh Sinha Ray, Sabyasachi Kamila, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, "Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval", in ICON, 2016.

Paper accepted for publication in COLING-2016


Shad Akhtar, A. Kumar, Asif Ekbal, Pushpak Bhattacharyya, "A Hybrid Deep Learning Architecture for Sentiment Analysis.", in COLING, 2016.

Paper accepted for publication in Molecular BioSystems Journal


Sudipta Acharya, Sriparna Saha, "Importance of Proximity Measures in Clustering of Cancer and miRNA Datasets:Proposal of an Automated Framework.", in Molecular BioSystems(IF:2.829), 2016, DOI: 10.1039/C6MB00609D

Papers accepted for publication in Expert Systems With Applications Journal


Sumit Mishra, Sriparna Saha, Samrat Mondal, "A Multiobjective Optimization based Entity Matching Technique for Bibliographic Databases", in Expert Systems With Applications Journal.

Papers accepted for publication in ICPR-2016


"A Deep Learning Architecture for Protein-Protein Interaction Article Identification", in 23rd International Conference on Pattern Recognition.

P. Sahoo, Sudipta Acharya, Sriparna Saha "Automatic Generation of Biclusters from Gene Expression Data Using Multi-objective Simulated Annealing Approach", in 23rd International Conference on Pattern Recognition.

Paper accepted for publication in Knowledge based Systems, Elsevier


U K Sikdar, Asif Ekbal and Sriparna Saha, "A Generalized Framework for Anaphora Resolution in Indian Languages", in Knowledge based Systems, Elsevier.

Paper accepted for publication in NLDB Conference,June 22-24,2016


Sudipta Acharya, Asif Ekbal, Sriparna Saha, P. Santhanam, J. G. Moreno, G. Dias(2016), "Multi-Objective Word Sense Induction based on Content and Interlink Connections", in the proceedings of 21st International Conference on Applications of Natural Language to Information Systems(NLDB ), June 22-24, Manchester, UK.

Paper accepted in Gene Reports Journal, 2016


Sriparna Saha, S. Mitra, and R. K. Yadav (2016): A Multiobjective Based Automatic Framework for Classifying Cancer-microRNA Biomarkers, Gene Reports (expanded version of Gene (impact factor: 2.138))

Papers accepted in LREC, 2016


Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2016). Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. In proceeding of the 10th edition of the Language Resources and Evaluation Conference (LREC), 23-28 May 2016, Portoroz, Slovenia.

Dipawesh Pawar, Mohammed Hasanuzzaman and Asif Ekbal , "Building Tempo-HindiWordnet - A resource for temporal information access in Hindi ", 10th edition of the Language Resources and Evaluation Conference (LREC) 2016

Paper accepted in CICLING 2016


Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya (2016). Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi. In Proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING), April 3-9 2016, Konya, Turkey.

Papers accepted in IEEE WCCI 2016


Sumit Mishra, Sriparna Saha, and Samrat Mondal, “An automatic framework for entity matching in bibliographic databases,” in Evolutionary Computation (CEC), 2016 IEEE Congress on, IEEE, 2016

Sumit Mishra, Sriparna Saha, and Samrat Mondal, “Divide and Conquer Based Non-dominated Sorting for Parallel Environment,” in Evolutionary Computation (CEC), 2016 IEEE Congress on, IEEE, 2016

Sumit Mishra, Samrat Mondal, and Sriparna Saha, “Fast Implementation of Steady State NSGA-II,” in Evolutionary Computation (CEC), 2016 IEEE Congress on, IEEE, 2016

R. Das, and Sriparna Saha, "Gene Expression Data Classification using Automatic Differential Evolution Based Algorithm,” in Evolutionary Computation (CEC), 2016 IEEE Congress on, IEEE, 2016

M. Pal, Sriparna Saha and Sanghamitra Bandyopadhyay, Clustering based Online Automatic Objective Reduction to aid Many-Objective Optimization, In Proceedings of IEEE CEC 2016, Vancouver, Canada, July 24-29, 2016 (accepted).