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Suman Banerjee
Suman Banerjee
Senior Data Scientist @ Flipkart | MS from IIT Madras
Dirección de correo verificada de flipkart.com
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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
1902018
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
372018
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
322019
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
62024
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
62023
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
52024
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
22024
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
22024
Semi-supervised Named Entity Recognition to solve label scarcity challenges for E-Commerce use-cases
A Siddiqa, S Banerjee, N Garera
KDD EcomGen, 2022
22022
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Artículos 1–9