Publications

"Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability”, R. Sawhney, S. Yadav, I. Bhattacharya, Mausam, The Annual Meeting of the Association for Computational Linguistics (ACL-Findings), August 2025. Link

“Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning”, M. Patidar, R. Sawhney, A. Singh, B. Chatterjee, Mausam, I. Bhattacharya, The Annual Meeting of the Association for Computational Linguistics (ACL), August 2024. Link Code

RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions”, P. Faldu, I. Bhattacharya, Mausam, The Annual Meeting of the Association for Computational Linguistics (ACL), August, 2024. Link Code 

“Checker-augmented Retriever and Reference-free Scorer for QA over Long Scientific Documents with Distinct Answer-types”, A. Kundu, M. Patwardhan, S. Jogani, I. Bhattacharya, L. Vig, G. Shroff, SDU Worksop @ Annual Conference on Artificial Intelligence (AAAI), February, 2024. Link

“Semantic Annotation of Relational Schemas Using a Probabilistic Generative Model”, D. Mukherjee, A. Bandyopadhyay, S. Datta, I. Bhattacharya, ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD), January, 2024 (Best Research Paper Award). Link

“Adapting Pre-trained Generative Model for Extractive Question Answering”, P. Mallick, T. Nayak and I. Bhattacharya, GEM Workshop @ The Conference on Empirical Methods in Natural Language Processing (EMNLP), December, 2023. Link

“90% F1 in Relation Triple Extraction. Is it Real?”, P. Saini, S. Pal, T. Nayak, I. Bhattacharya, GenBench Workshop @ The Conference on Empirical Methods in Natural Language Processing (EMNLP), December, 2023. Link

“Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?”, P. Saini, T. Nayak, I. Bhattacharya, The International Joint Conference on Natural Language Processing and the Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), November, 2023. Link

“Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions”, M. Patidar, A. Singh, P. Faldu, L. Vig, I. Bhattacharya, Mausam, The Annual Meeting of the Association for Computational Linguistics (ACL), July, 2023. Link

“Weakly Supervised Context-based Interview Question Generation”, S. Pal, K. Khan, A. Singh, S. Ghosh, T. Nayak, G. Palshikar and I. Bhattacharya, GEM Workshop @ The Conference on Empirical Methods in Natural Language Processing (EMNLP), December, 2022. Link

“Unsupervised Generation of Long-form Technical Questions from Textbook Metadata using Structured Templates”, I. Bhattacharya, S. Ghosh, A. Kundu, P. Saini and T. Nayak, PANDL Workshop @ International Conference On Computational Linguistics (COLING), October, 2022. Link

“A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions”, A. Kundu, S. Ghosh, T. Nayak, I. Bhattacharya, International Conference On Computational Linguistics (COLING), October, 2022. Link

“Learning-based Assistant for Data Migration of Enterprise Information Systems”, S. Mitra, D. Mukherjee, A. Bandyopadhyay, R. Chowdhury, R. Medicherla, I. Bhattacharya, R. Naik, IEEE/ACM International Conference on Automated Software Engineering (ASE), November 2021. Link

“Semi-structured Document Annotation Using Entity and Relation Types”, A. Kundu, S. Ghosh, I. Bhattacharya, Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), September 2021. Link

“Semantic Templates for Generating Long-Form Technical Questions”, S. Pal, A. Singh, S. Datta, S. Patil, I. Bhattacharya, G. Palshikar, International Conference on Text, Speech, and Dialogue (TSD), June 2021. Link

“Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming”, S. Datta, P. Mallick, S. Patil, I. Bhattacharya, G. Palshikar, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), June 2021. Link

“Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process”, J. Choudhari, S. Bedathur, I. Bhattacharya, A. Dasgupta, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2021. Link

“Complex Question Answering on Knowledge Graphs using Machine Translation and Multi-task Learning”, S. Srivastava, M. Patidar, S. Chowdhury, P. Agarwal, I. Bhattacharya, G. Shroff, Conference of the European Chapter of the Association for Computational Linguistics (EACL), April 2021. Link

“Joint Learning of Representations for Web-tables, Entities and Types using Graph Convolutional Network”, A. Pramanick, I. Bhattacharya, Conference of the European Chapter of the Association for Computational Linguistics (EACL), April 2021. Link

"Learning Knowledge Graph for Target-driven Schema Matching”, D. Mukherjee, A. Bandyopadhyay, R. Chowdhury, I. Bhattacharya, ACM India Conference on Data Science and Management of Data (CODS-COMAD), January 2021. Link

“Discovering Knowledge Graph Schema from Short Natural Language Text via Dialog”, S. Ghosh, A. Kundu, A. Pramanick, I. Bhattacharya, Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), July 2020. Link

“Topics are not Marks: Modeling Text-based Cascades using Multi-network Hawkes Process”, J. Choudhari, A. Dasgupta, I. Bhattacharya and S. Bedathur, Workshop on Temporal Point Processes @ NeurIPS Conference, December 2019. Link

“Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes”, J. Choudhari, A. Dasgupta, I. Bhattacharya, S. Bedathur, IEEE International Conference on Data Mining (ICDM), November 2018. Link

“Learning Knowledge Graph Schema via Dialog”, M. Saha, I. Bhattacharya, G Shroff, Workshop on Conversational AI @ ACM SIGKDD Conference, August 2018.

“Deep Infinite Admixture Models”, S. Tekumalla, P. Agrawal, I. Bhattacharya, Workshop on Bayesian Deep Learning @ NIPS Conference, December, 2018. Link

“Deep Nested Hierarchical Dirichlet Processes”, S. Tekumalla, P. Agrawal, I. Bhattacharya, Workshop on Bayesian Nonparametrics @ NIPS Conference, December, 2018. Link

“Stance Classification of Context-Dependent Claims”, R. Bar-Haim, I. Bhattacharya, F. Dinuzzo, A. Saha and N. Slonim, Conference of The European Chapter of the Association for Computational Linguistics (EACL), April 2017 (211 citations). Link

“An Optimization Approach for Matching Textual Domain Models with Existing Code”, T. Patil, R. Komondoor, D. D’Souza and I. Bhattacharya, IEEE International Conference on Software Maintenance and Evolution (ICSME), October 2016. Link

“Online Topic-based Social Influence Analysis for the Wimbledon Championships”, V. Embar, I. Bhattacharya, V. Pandit and R. Vaculin, ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), August 2015. Link

“A Bayesian Framework for Estimating Properties of Network Diffusions”, V. Embar, R. Pasumarthi and I. Bhattacharya, ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), August 2014. Link

“Using Relationships for Matching Textual Domain Models with Existing Code”, R. Komondoor, I. Bhattacharya, D. D’Souza, and S. Kale, Working Conference on Reverse Engineering (WCRE), October 2013. Link

“Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis”, P. Agrawal, L. Tekumallah, I. Bhattacharya, European Conference on Machine Learning (ECML-PKDD), September 2013. Link

“A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data”, A. Mitra, Ranganath B N, I. Bhattacharya, European Conference on Machine Learning (ECML-PKDD), September 2013. Link

“Dynamic Multi-Relational Chinese Restaurant Processes for Analyzing User Influences in Social Media”, H. Lakkaraju, I. Bhattacharya and C. Bhattacharyya, IEEE International Conference on Data Mining (ICDM), December 2012. Link

“Learning Dirichlet Processes from Partially Observed Groups”, A. Dubey, I. Bhattacharya, M. Das, T. Faruquie, and C. Bhattacharyya, IEEE International Conference on Data Mining (ICDM), December 2011. Link

“Exploiting Coherence for the Simultaneous Discovery of Latent Facets and Associated Sentiments”, H. Lakkaraju, C. Bhattacharyya, I. Bhattacharya and S. Merugu, SIAM Conference on Data Mining (SDM), April 2011 (Best Research Paper Award, 141 citations). Link

“Building Re-usable Dictionary Repositories for Real-world Text Mining”, S. Godbole, I. Bhattacharya, A. Gupta and A. Verma, ACM International Conference on Information and Knowledge Management (CIKM), October 2010 (76 citations). Link

“A Cluster-Level Semi-Supervision Model for Interactive Clustering”, A. Dubey, I. Bhattacharya and S. Godbole, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), September, 2010 (41 citations). Link

“Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering”, I. Bhattacharya, S. Godbole, S. Joshi and A. Verma, IEEE International Conference on Data Mining (ICDM), December, 2009. Link

“Enabling Analysts in Managed Services for CRM Analytics”, I. Bhattacharya, S. Godbole, A. Gupta, A. Verma, J. Achtermann and K. English, ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), July, 2009. Link

“Structured Entity Identification and Document Categorization: Two Tasks with One Joint Model”, I. Bhattacharya, S. Godbole, and S. Joshi, ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), August, 2008. Link

“Online Collective Entity Resolution”, I. Bhattacharya and L. Getoor, NECTAR Track @ Conference on Artificial Intelligence (AAAI), July 2007. Link

“Query-Time Entity Resolution”, I. Bhattacharya, L. Licamele and L. Getoor, ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), August 2006. (118 citations) Link

“Relational Clustering for Entity Resolution Queries”, I. Bhattacharya, L. Licamele and L. Getoor, Workshop on Statistical Relational Learning (SRL) @ ICML, June 2006. Link

“A Latent Dirichlet Allocation Model for Unsupervised Entity Resolution”, I. Bhattacharya and L. Getoor, SIAM Conference on Data Mining (SDM), April 2006. (Best Research Paper Award, 400 citations) Link

“Relational Clustering for Multi-type Entity Resolution”, I. Bhattacharya and L. Getoor, Workshop on Multi-Relational Data Mining (MRDM) @ ACM SIGKDD Conference, August 2005. (84 citations) Link

“Similarity Searching in Peer-to-Peer Databases”, I. Bhattacharya, S. Kashyap and S. Parthasarathy, International Conference on Distributed Computing Systems (ICDCS), June 2005. (49 citations) Link

“Deduplication and Group Detection using Links”, I. Bhattacharya and L. Getoor, Workshop on Link Analysis and Group Detection (LinkKDD) @ ACM SIGKDD Conference, August 2004. (95 citations) Link

“The University of Maryland Senseval-3 System Descriptions”, C. Cabezas, I. Bhattacharya and P. Resnik, International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (SENSEVAL-3), July, 2004. Link

“Unsupervised Sense Disambiguation using Bilingual Probabilistic Models”, I. Bhattacharya, L. Getoor and Y. Bengio, Annual Meeting of the Association for Computational Linguistics (ACL), July 2004. (44 citations) Link

“Iterative Record Linkage for Cleaning and Integration”, I. Bhattacharya and L. Getoor, Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) @ ACM SIGMOD Conference, June 2004. (317 citations) Link