Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Prasenjit Majumder"'
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:
Lecture Notes in Computer Science ISBN: 9783031282409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2021c336c3db029b24a98e3f52862d9
https://hdl.handle.net/11577/3476044
https://hdl.handle.net/11577/3476044
Autor:
Srijoni Majumdar, Ayan Bandyopadhyay, Partha Pratim Das, Paul Clough, Samiran Chattopadhyay, Prasenjit Majumder
Publikováno v:
Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation.
Autor:
Shrey Satapara, Prasenjit Majumder, Thomas Mandl, Sandip Modha, Hiren Madhu, Tharindu Ranasinghe, Marcos Zampieri, Kai North, Damith Premasiri
Publikováno v:
Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation.
Publikováno v:
ACM SIGIR Forum. 55:1-11
This report gives an overview on the Forum for Information Retrieval Evaluation (FIRE) initiative for South-Asian languages 1 . The FIRE conference was conducted online in December 2020. The event combined a conference including keynotes, peer review
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 34:499-525
Modeling text in a numerical representation is a prime task for any Natural Language Processing downstream task such as text classification. This paper attempts to study the effectiveness of text r...
Publikováno v:
Expert Systems with Applications. 215:119342
Autor:
Ashwani Tanwar, Prasenjit Majumder
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 19:1-15
This work presents an in-depth analysis of machine translations of morphologically-rich Indo-Aryan and Dravidian languages under zero-resource conditions. It focuses on Zero-Shot Systems for these languages and leverages transfer-learning by exploiti
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030997380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0980f9d55ee10700a142d26991e22aef
http://hdl.handle.net/11577/3457816
http://hdl.handle.net/11577/3457816