| 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 | 536 | 2012 |
| 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 | 313 | 2017 |
| 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 | 270 | 2012 |
| 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 | 243 | 2015 |
| 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 | 214 | 2015 |
| 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 | 185 | 2019 |
| 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 | 165 | 2014 |
| 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 | 162 | 2019 |
| 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 | 140 | 2012 |
| 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 | 134 | 2022 |
| 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 | 134 | 2019 |
| 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 | 128 | 2019 |
| 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 | 124 | 2018 |
| 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 | 120 | 2017 |
| 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 | 105 | 2021 |
| 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 | 103 | 2021 |
| 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 | 102 | 2023 |
| 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 | 102 | 2017 |
Kripabandhu GhoshAssociate Professor, IISER Kolkata, IndiaVerified email at iiserkol.ac.in
