Publications

Filter publications

What type of publication do you want to show?

All

Journals

Conference papers

Chapters

Books

Other

2024

A case study for automated attribute extraction from legal documents using large language models

Adhikary, S., Sen, P., Roy, D., & Ghosh, K. (n.d.). A case study for automated attribute extraction from legal documents using large language models. Artificial Intelligence and Law. doi:10.1007/s10506-024-09425-7

DOI: 10.1007/s10506-024-09425-7
: Journal article

2023

Can Word Sense Distribution Detect Semantic Changes of Words?

: Preprint

Explainable Information Retrieval

Anand, A., Sen, P., Saha, S., Verma, M., & Mitra, M. (2023). Explainable Information Retrieval. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 3448-3451). ACM. doi:10.1145/3539618.3594249

DOI: 10.1145/3539618.3594249
: Conference Paper

Task2KB: A Public Task-Oriented Knowledge Base

Sen, P., Wang, X., Xu, R., & Yilmaz, E. (n.d.). Task2KB: A Public Task-Oriented Knowledge Base. In Proceedings of the AAAI Conference on Artificial Intelligence Vol. 37 (pp. 16482-16484). Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v37i13.27086

DOI: 10.1609/aaai.v37i13.27086
: Conference Paper

A Word Sense Distribution-based approach for Semantic Change Prediction

Tang, X., Zhou, Y., Aida, T., Sen, P., & Bollegala, D. (2023). A Word Sense Distribution-based approach for Semantic Change Prediction. In Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 3575-3590). Association for Computational Linguistics. doi:10.18653/v1/2023.findings-emnlp.231

DOI: 10.18653/v1/2023.findings-emnlp.231
: Conference Paper

Can Word Sense Distribution Detect Semantic Changes of Words?

Tang, X., Zhou, Y., Aida, T., Sen, P., & Bollegala, D. (2023). Can Word Sense Distribution Detect Semantic Changes of Words?. In Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 3575-3590).

: Conference Paper

Finding Important Arguments from a Legal Case

Konstantynowicz, D., Wojciechowski, F. G., & Sen, P. (2023). Finding Important Arguments from a Legal Case. In CEUR Workshop Proceedings Vol. 3614 (pp. 33-37).

: Conference Paper

2022

Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs

Sen, P., Saha, S., Ganguly, D., Verma, M., & Roy, D. (2022). Measuring and Comparing the Consistency of IR Models for Query Pairs with Similar and Different Information Needs. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 4449-4453). ACM. doi:10.1145/3511808.3557637

DOI: 10.1145/3511808.3557637
: Conference Paper

Workshop on Proactive and Agent-Supported Information Retrieval (PASIR)

Jones, G. J. F., Sen, P., Ganguly, D., & Yilmaz, E. (2022). Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 5167-5168). ACM. doi:10.1145/3511808.3557939

DOI: 10.1145/3511808.3557939
: Conference Paper

I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts

Sen, P., Ganguly, D., & Jones, G. J. F. (2022). I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts. ACM Transactions on Information Systems, 40(3), 1-30. doi:10.1145/3488667

DOI: 10.1145/3488667
: Journal article