[go: up one dir, main page]

Follow
Saptarshi Ghosh
Title
Cited by
Cited by
Year
Understanding and combating link farming in the twitter social network
S Ghosh, B Viswanath, F Kooti, NK Sharma, G Korlam, F Benevenuto, ...
Proceedings of the 21st international conference on World Wide Web, 61-70, 2012
5362012
Quantifying search bias: Investigating sources of bias for political searches in social media
J Kulshrestha, M Eslami, J Messias, ZM Bilal, S Ghosh, G Krishna P, ...
Proceedings of the ACM Conference on Computer Supported Cooperative Work and …, 2017
3132017
Cognos: crowdsourcing search for topic experts in microblogs
S Ghosh, NK Sharma, F Benevenuto, N Ganguly, KP Gummadi
Proceedings of the 35th international ACM conference on research and …, 2012
2702012
Extracting situational information from microblogs during disaster events: a classification-summarization approach
K Rudra, S Ghosh, N Ganguly, P Goyal, S Ghosh
Proceedings of the 24th ACM international on conference on information and …, 2015
2432015
Reverse engineering socialbot infiltration strategies in twitter
C Freitas, F Benevenuto, S Ghosh, A Veloso
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
2142015
A Comparative Study of Summarization Algorithms applied to Legal Case Judgments
P Bhattacharya, K Hiware, S Rajgaria, N Pochhi, K Ghosh, S Ghosh
Proceedings of European Conference on Information Retrieval (ECIR), 413-428, 2019
1852019
Inferring user interests in the twitter social network
P Bhattacharya, MB Zafar, N Ganguly, S Ghosh, KP Gummadi
Proceedings of the 8th ACM Conference on Recommender systems, 357-360, 2014
1652014
Search Bias Quantification: Investigating Political bias in Social media and Web search
J Kulshrestha, M Eslami, J Messias, MB Zafar, S Ghosh, KP Gummadi, ...
Information Retrieval Journal, Springer 22 (1-2), 188--227, 2019
1622019
Inferring who-is-who in the Twitter social network
NK Sharma, S Ghosh, F Benevenuto, N Ganguly, K Gummadi
ACM SIGCOMM Computer Communication Review 42 (4), 533-538, 2012
1402012
Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law
S Paul, A Mandal, P Goyal, S Ghosh
International Conference on Artificial Intelligence and Law (ICAIL), 2023
134*2023
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation
A Shukla, P Bhattacharya, S Poddar, R Mukherjee, K Ghosh, P Goyal, ...
AACL-IJCNLP, 1048–1064, 2022
1342022
Identification of rhetorical roles of sentences in indian legal judgments
P Bhattacharya, S Paul, K Ghosh, S Ghosh, A Wyner
International Conference on Legal Knowledge and Information Systems (JURIX …, 2019
1342019
Stance Detection in Web and Social Media: A Comparative Study
S Ghosh, P Singhania, S Singh, K Rudra, S Ghosh
International Conference of the Cross-Language Evaluation Forum (CLEF), 75-87, 2019
1282019
Overview of the FIRE 2019 AILA track: Artificial Intelligence for Legal Assistance
P Bhattacharya, K Ghosh, S Ghosh, A Pal, P Mehta, A Bhattacharya, ...
Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE) 2517 …, 2019
126*2019
Extracting and summarizing situational information from the twitter social media during disasters
K Rudra, N Ganguly, P Goyal, S Ghosh
ACM Transactions on the Web (TWEB) 12 (3), 1-35, 2018
1242018
Measuring similarity among legal court case documents
A Mandal, R Chaki, S Saha, K Ghosh, A Pal, S Ghosh
Proceedings of the 10th annual ACM India compute conference, 1-9, 2017
1202017
Incorporating domain knowledge for extractive summarization of legal case documents
P Bhattacharya, S Poddar, K Rudra, K Ghosh, S Ghosh
Proceedings of the eighteenth international conference on artificial …, 2021
1052021
Unsupervised approaches for measuring textual similarity between legal court case reports
A Mandal, K Ghosh, S Ghosh, S Mandal
Artificial Intelligence and Law 29, 417--451, 2021
1032021
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?
A Deroy, K Ghosh, S Ghosh
Workshop on AI and Intelligent Assistance for Legal Professionals in the …, 2023
1022023
Who makes trends? understanding demographic biases in crowdsourced recommendations
A Chakraborty, J Messias, F Benevenuto, S Ghosh, N Ganguly, ...
Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017
1022017
The system can't perform the operation now. Try again later.
Articles 1–20