Subhabrata Mukherjee

Cited by

	All	Since 2018
Citations	2956	2528
h-index	26	24
i10-index	43	41

600

300

150

450

2013201420152016201720182019202020212022202325 67 70 91 149 201 304 327 502 588 599

Public access

View all

10 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Ahmed Hassan AwadallahMicrosoft ResearchVerified email at microsoft.com
Gerhard WeikumProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Kashyap PopatMeta AIVerified email at meta.com
Guoqing ZhengMicrosoft ResearchVerified email at microsoft.com
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT BombayVerified email at cse.iitb.ac.in
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Sachindra JoshiResearch Staff MemberVerified email at in.ibm.com
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Yaqing WangResearch Scientist, Google DeepmindVerified email at google.com
Jannik StrötgenKarlsruhe University of Applied Sciences, GermanyVerified email at h-ka.de
Xiaodong LiuMicrosoft, RedmondVerified email at microsoft.com
Xin Luna DongPrincipal Scientist at MetaVerified email at fb.com
Andrew YatesUniversity of AmsterdamVerified email at uva.nl
Milad ShokouhiMicrosoftVerified email at microsoft.com
Saghar HosseiniSenior Research Scientist at MetaVerified email at meta.com
Kai ShuAssistant Professor of Computer Science, Illinois Institute of TechnologyVerified email at iit.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Mengnan DuAssistant Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Debadeepta DeyPrincipal Researcher, Microsoft Research | Azure AIVerified email at microsoft.com
Dongkuan (DK) XuAssistant Professor of Computer Science, North Carolina State UniversityVerified email at ncsu.edu

Subhabrata Mukherjee

Principal Researcher, Microsoft Research

Verified email at microsoft.com - Homepage

Natural Language Understanding Machine Learning Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning K Popat, S Mukherjee, A Yates, G Weikum EMNLP 2018, 2018	304	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	251	2017
Credibility assessment of textual claims on the web K Popat, S Mukherjee, J Strötgen, G Weikum CIKM 2016, 2173-2178, 2016	199	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	177*	2018
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	162	2012
Uncertainty-aware Self-training for Few-shot Text Classification S Mukherjee, AH Awadallah NeurIPS 2020, 2020	161*	2020
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	144	2012
Leveraging joint interactions for credibility analysis in news communities S Mukherjee, G Weikum CIKM 2015, 353-362, 2015	119	2015
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	93*	2020
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models S Mukherjee, A Awadallah ACL 2020, 2020	81*	2020
Sentiment Aggregation using ConceptNet Ontology S Mukherjee, S Joshi IJCNLP 2013, 2013	71	2013
TwiSent: a multistage system for analyzing sentiment in twitter S Mukherjee, A Malu, B AR, P Bhattacharyya CIKM 2012, 2531-2534, 2012	71	2012
Self-Training with Weak Supervision G Karamanolakis, S Mukherjee, G Zheng, AH Awadallah NAACL 2021, 2021	68	2021
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer J Zhao, S Mukherjee, S Hosseini, KW Chang, AH Awadallah ACL 2020, 2020	68	2020
Fairness via Representation Neutralization M Du, S Mukherjee, G Wang, R Tang, AH Awadallah, X Hu NeurIPS 2021, 2021	64	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	63*	2020
CredEye: A Credibility Lens for Analyzing and Explaining Misinformation K Popat, S Mukherjee, J Strötgen, G Weikum WWW 2018, 2018	59	2018
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	42*	2022
Joint author sentiment topic model S Mukherjee, S Basu, Gaurab, Joshi SIAM Data Mining (SDM 2014), 2014	40	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors