Towards exploiting background knowledge for building conversation systems N Moghe, S Arora, S Banerjee, MM Khapra Proceedings of EMNLP 2018, Conference on Empirical Methods in Natural …, 2018 | 184 | 2018 |
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems S Banerjee, N Moghe, S Arora, MM Khapra Proceedings of COLING 2018, the 27th International Conference on …, 2018 | 36 | 2018 |
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems S Banerjee, MM Khapra Transactions of the Association for Computational Linguistics 7, 485-500, 2019 | 32 | 2019 |
Synthesize, if you do not have: Effective synthetic dataset creation strategies for self-supervised opinion summarization in E-commerce T Siledar, S Banerjee, A Patil, S Singh, M Chelliah, N Garera, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 13480 …, 2023 | 6 | 2023 |
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation T Siledar, S Nath, SSRR Muddu, R Rangaraju, S Nath, P Bhattacharyya, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 4 | 2024 |
Product Description and QA Assisted Self-Supervised Opinion Summarization T Siledar, R Rangaraju, SSRR Muddu, S Banerjee, A Patil, SS Singh, ... Findings of the Association for Computational Linguistics: NAACL 2024, 2024 | 3 | 2024 |
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization S Nath, T Siledar, SSRR Muddu, R Rangaraju, H Khadilkar, ... arXiv preprint arXiv:2402.15473, 2024 | 2 | 2024 |
Semi-supervised Named Entity Recognition to solve label scarcity challenges for E-Commerce use-cases A Siddiqa, S Banerjee, N Garera KDD EcomGen, 2022 | 2 | 2022 |
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM SR Muddu, R Rangaraju, T Siledar, S Nath, P Bhattacharyya, S Nath, ... arXiv preprint arXiv:2406.10886, 2024 | 1 | 2024 |