| 2025 | COLING | Effective Modeling of Generative Framework for Document-level Relational Triple Extraction. | Pratik Saini, Tapas Nayak |
| 2025 | IJCNLP | Are Relational Triple Extraction Frameworks Sufficient for Hyper-relational Facts ? | Pratik Saini, Chayan Sarkar, Tapas Nayak |
| 2023 | IJCNLP | Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks? | Pratik Saini, Tapas Nayak, Indrajit Bhattacharya |
| 2022 | COLING | A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions. | Arpita Kundu, Subhasish Ghosh, Pratik Saini, Tapas Nayak, Indrajit Bhattacharya |
| 2019 | IJCAI | Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis. | C. Anantaram, Mouli Rastogi, Mrinal Rawat, Pratik Saini |
| 2019 | IJCAI | Extracting Dialog Structure and Latent Beliefs from Dialog Corpus. | Aishwarya Chhabra, Pratik Saini, Chandrasekhar Anantaram |
| 2019 | PAKDD | Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning. | Amit Sangroya, Pratik Saini, Mrinal Rawat, Gautam Shroff, C. Anantaram |
| 2018 | AAAI | Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots. | Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat |
| 2018 | IJCAI | Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. | Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat |
| 2017 | MEDES | Chatbot as an Intermediary between a Customer and the Customer Care Ecosystem. | Amit Sangroya, Pratik Saini, C. Anantaram |