DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning K Popat, S Mukherjee, A Yates, G Weikum EMNLP 2018, 2018 | 348 | 2018 |
Where the truth lies: Explaining the credibility of emerging claims on the web and social media K Popat, S Mukherjee, J Strötgen, G Weikum WWW 2017, 1003-1012, 2017 | 272 | 2017 |
Credibility assessment of textual claims on the web K Popat, S Mukherjee, J Strötgen, G Weikum CIKM 2016, 2173-2178, 2016 | 213 | 2016 |
OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition] G Zheng, S Mukherjee, XL Dong, F Li SIGKDD 2018, 2018 | 205* | 2018 |
Uncertainty-aware Self-training for Few-shot Text Classification S Mukherjee, AH Awadallah NeurIPS 2020, 2020 | 198* | 2020 |
Orca: Progressive learning from complex explanation traces of gpt-4 S Mukherjee, A Mitra, G Jawahar, S Agarwal, H Palangi, A Awadallah arXiv preprint arXiv:2306.02707, 2023 | 169 | 2023 |
Feature specific sentiment analysis for product reviews S Mukherjee, P Bhattacharyya Part 1, Lecture Notes in Computer Science, Springer 7181:475– 487, 475-487, 2012 | 168 | 2012 |
People on Drugs: Credibility of User Statements in Health Communities S Mukherjee, G Weikum, C Danescu-Niculescu-Mizil KDD 2014, 2014 | 157 | 2014 |
Sentiment Analysis in Twitter with Lightweight Discourse Analysis S Mukherjee, P Bhattacharyya In Proceedings of COLING 2012, 2012 | 147 | 2012 |
Leveraging joint interactions for credibility analysis in news communities S Mukherjee, G Weikum CIKM 2015, 353-362, 2015 | 124 | 2015 |
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning Y Wang, S Agarwal, S Mukherjee, X Liu, J Gao, AH Awadallah, J Gao EMNLP 2022, 2022 | 107* | 2022 |
Meta Self-training for Few-shot Neural Sequence Labeling Y Wang, S Mukherjee, H Chu, Y Tu, M Wu, J Gao, AH Awadallah SIGKDD 2021, 2020 | 107 | 2020 |
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models S Mukherjee, A Awadallah ACL 2020, 2020 | 94* | 2020 |
Self-Training with Weak Supervision G Karamanolakis, S Mukherjee, G Zheng, AH Awadallah NAACL 2021, 2021 | 82 | 2021 |
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer J Zhao, S Mukherjee, S Hosseini, KW Chang, AH Awadallah ACL 2020, 2020 | 81 | 2020 |
Fairness via Representation Neutralization M Du, S Mukherjee, G Wang, R Tang, AH Awadallah, X Hu NeurIPS 2021, 2021 | 77 | 2021 |
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News K Shu, G Zheng, Y Li, S Mukherjee, AH Awadallah, S Ruston, H Liu ECML-PKDD 2020, 2020 | 75* | 2020 |
Sentiment Aggregation using ConceptNet Ontology S Mukherjee, S Joshi IJCNLP 2013, 2013 | 73 | 2013 |
TwiSent: a multistage system for analyzing sentiment in twitter S Mukherjee, A Malu, B AR, P Bhattacharyya CIKM 2012, 2531-2534, 2012 | 73 | 2012 |
CredEye: A Credibility Lens for Analyzing and Explaining Misinformation K Popat, S Mukherjee, J Strötgen, G Weikum WWW 2018, 2018 | 64 | 2018 |