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Legal Case Document Similarity: You Need Both Network and Text


Sep 26, 2022
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh

* This work has been published in Information Processing and Management, Elsevier, vol. 59, issue 6, November 2022 

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Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents


Jun 30, 2021
Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh

* Accepted at the 18th International Conference on Artificial Intelligence and Law (ICAIL) 2021 

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Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization


Feb 02, 2021
Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh

* This work has been accepted at International Workshop on Fair and Interpretable Learning Algorithms 2020 (FILA 2020), which was held in conjunction with IEEE BigData 2020 

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An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection


Jan 09, 2021
Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh

* Will be appearing in the ACM Journal of Data and Information Quality. Implementation available at https://github.com/ranarag/UnsupClean 

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ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions


Jul 27, 2020
Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh

* Accepted in CIKM-2020 

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Methods for Computing Legal Document Similarity: A Comparative Study


Apr 26, 2020
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh

* This paper was published at the LDA 2019 workshop in the JURIX 2019 conference 

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Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora


Apr 12, 2018
Mitodru Niyogi, Kripabandhu Ghosh, Arnab Bhattacharya


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