Publications

Legal Data Mining

Thesis : Text and Graph Processing Methods for Assisting Legal Practitioners [pdf]

  1. Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh. Legal Case Document Similarity : You need both Network and Text. Information Processing and Management, Elsevier, 2022. (link)

  2. Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh and Adam Wyner. DeepRhole: Deep Learning for Rhetorical Role Labeling of Sentences in Legal Case Documents. Artificial Intelligence and Law, Springer, 2021. [pdf] [dataset]

  3. Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh. Legal case document summarization: Extractive and abstractive methods and their evaluation. Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP), Virtual Event, pp. 1048--1064, November 2022. [pdf (ArXiv)] [pdf (ACL anthology)] [codes + dataset]

  4. Aniket Deroy, Paheli Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh. An Analytical Study of Algorithmic and Expert Summaries of Legal Cases. International Conference on Legal Knowledge and Information Systems (JURIX), Vilnius, Lithuania, December 2021.

  5. Arpan Mandal, Paheli Bhattacharya, Sekhar Mandal, Saptarshi Ghosh. Improving Legal Case Document Summarization using Document-specific Catchphrases. International Conference on Legal Knowledge and Information Systems (JURIX), Vilnius, Lithuania, December 2021 [short paper].

  6. Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh. Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents. International Conference on Artificial Intelligence and Law (ICAIL), Virtual Event, Brazil, June 2021. [Best Student Paper Award] [pdf (ArXiv)] [codes] [talk] [slides]

  7. Riya Sanjay Podder, Paheli Bhattacharya. Unsupervised Legal Concept Extraction from Indian Case Documents using Statutes. Forum for Information Retrieval Evaluation 2020, December 2020 [short paper]

  8. Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh. Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Document Similarity, in the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 [Short Paper] [pdf] [talk] [slides]

  9. Paheli Bhattacharya. Legal Data Analytics: Developing Assistive Tools for Legal Practitioners and the Common Man, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Doctoral Consortium [pdf] [talk] [slides]

  10. Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh and Adam Wyner. Identification of Rhetorical Roles of Sentences in Indian Legal Judgments, in 32nd International Conference on Legal Knowledge and Information Systems (JURIX), 2019 [Best Paper Award] [pdf] [code+dataset]

  11. Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh. Methods for Computing Legal Document Similarity: A Comparative Study in Workshop on Legal Data Analysis, co-located with JURIX 2019, Madrid, Spain [pdf(arxiv)]

  12. Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh and Saptarshi Ghosh. A Comparative Study of Summarization Algorithms applied to Legal Case Judgments, in 41st European Conference on Information Retrieval (ECIR), 2019 [pdf] [code]

  13. Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder. Overview of the FIRE 2020 AILA track: Artificial Intelligence for Legal Assistance. In Forum for Information Retrieval Evaluation (FIRE 2020). Association for Computing Machinery, pp. 1–3. [pdf] [detailed notes]

  14. Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder. Overview of the FIRE 2019 AILA track: Artificial Intelligence for Legal Assistance. Working Notes of FIRE 2019 - Annual Meeting of the Forum for Information Retrieval Evaluation, CEUR Workshop Proceedings, vol. 2517, pp. 1-12, Kolkata, India, December 2019. [pdf]

Computational Linguistics, Cross-Language IR


    1. Paheli Bhattacharya, Pawan Goyal and Sudeshna Sarkar, Using Communities of Words Derived from Multilingual Word Vectors for Cross-Language Information Retrieval in Indian Languages, in ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP), 2018 [code] [pdf]

    2. Paheli Bhattacharya, Pawan Goyal and Sudeshna Sarkar, Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters, in The 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP) at International Conference on Computational Linguistics (COLING), 2016 [pdf]

    3. Paheli Bhattacharya, Pawan Goyal and Sudeshna Sarkar, Using Word Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval in The 17th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing), 2016 [pdf]

    4. Debjyoti Bhattacharjee and Paheli Bhattacharya, Ensemble Classifier based approach for Code-Mixed Cross-Script Question Classification in Working notes of Forum for Information Retrieval and Evaluation (FIRE), 2016 [pdf]

    5. Paheli Bhattacharya and Arnab Bhattacharya,Evolution of the Modern Phase of Written Bangla: A Statistical Study in The 1st International Conference on Mining Intelligence and Knowledge Exploration (MIKE), 2013 [pdf]