Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Kripabandhu Ghosh"'
Autor:
Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Arnab Bhattacharya, Partha Pratim Chakrabarti, Shouvik Guha, Arindam Pal, Koustav Rudra, Prasenjit Majumder, Dwaipayan Roy, Ayan Bandopadhyay, Procheta Sen, Paheli Bhattacharya, Aniket Deroy, Upal Bhattacharya, Subinay Adhikary, Subham Kumar Nigam
Publikováno v:
ACM SIGIR Forum. 56:1-7
This report describes the 2 nd edition of the Symposium on Artificial Intelligence and Law (SAIL) organized as a virtual event during June 6--9, 2022. The aim of SAIL is to bring together experts from the industry and the academia to discuss the scop
Publikováno v:
Artificial Intelligence and Law.
Autor:
Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336d597ce05a2ca2ac63e95803b8b17b
https://doi.org/10.1007/978-3-031-28241-6_34
https://doi.org/10.1007/978-3-031-28241-6_34
Publikováno v:
Artificial Intelligence and Law. 31:53-90
The task of rhetorical role labeling is to assign labels (such as Fact, Argument, Final Judgement, etc.) to sentences of a court case document. Rhetorical role labeling is an important problem in the field of Legal Analytics, since it can aid in vari
Publikováno v:
Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation.
Estimating the similarity between two legal case documents is an important and challenging problem, having various downstream applications such as prior-case retrieval and citation recommendation. There are two broad approaches for the task -- citati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::524ec0ab7c65094f28655f738184661d
http://arxiv.org/abs/2209.12474
http://arxiv.org/abs/2209.12474
Publikováno v:
Journal of Data and Information Quality. 13:1-25
A large fraction of textual data available today contains various types of “noise,” such as OCR noise in digitized documents, noise due to informal writing style of users on microblogging sites, and so on. To enable tasks such as search/retrieval
Publikováno v:
IEEE Transactions on Computational Social Systems. 7:389-403
Twitter is an active communication channel for the spreading of updated information in emergency situations. Retrieving specific information related to infrastructure damage offers the situational views to the concerned authorities, who can take nece
Autor:
Saptarshi Ghosh, Anurag Shandilya, Kripabandhu Ghosh, Arindam Biswas, Abhisek Dash, Abhijnan Chakraborty
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 3:1-28
As the amount of user-generated textual content grows rapidly, text summarization algorithms are increasingly being used to provide users a quick overview of the information content. Traditionally, summarization algorithms have been evaluated only ba
Publikováno v:
Forum for Information Retrieval Evaluation.