Mohit Bansal

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Kevin GimpelToyota Technological Institute at ChicagoVerified email at ttic.edu
Ramakanth PasunuruGraduate Student, UNC Chapell HillVerified email at cs.unc.edu
Hao TanUNC Chapel HillVerified email at cs.unc.edu
Tamara L BergAssociate Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Karen LivescuTTI-ChicagoVerified email at ttic.edu
Licheng Yu 虞立成Facebook AIVerified email at fb.com
Yixin NieUNC-Chapel HillVerified email at cs.unc.edu
Jie Lei 雷杰PhD student, Department of Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Matthew R. WalterToyota Technological Institute at ChicagoVerified email at ttic.edu
John WietingVerified email at ttic.edu
Han GuoCarnegie Mellon UniversityVerified email at cs.cmu.edu
Hongyuan MeiJohns Hopkins University, Toyota Technology Institute at Chicago, The University of ChicagoVerified email at cs.jhu.edu
Yichen JiangUNC Chapel HillVerified email at cs.unc.edu
Dhruv BatraGeorgia Tech and Facebook AI ResearchVerified email at gatech.edu
Devi ParikhGeorgia Tech, Facebook AI ResearchVerified email at gatech.edu
Tong NiuSalesforce ResearchVerified email at salesforce.com
Yen-Chun ChenResearcher, MicrosoftVerified email at microsoft.com
Douwe KielaResearch Scientist, Facebook AI ResearchVerified email at cl.cam.ac.uk
Lisa BauerUNC Chapel HillVerified email at cs.unc.edu
Makoto MiwaAssociate Professor, Toyota Technological InstituteVerified email at toyota-ti.ac.jp

Mohit Bansal

Professor, Computer Science, UNC Chapel Hill

Verified email at cs.unc.edu - Homepage

Natural Language Processing Computational Linguistics Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
End-to-end Relation Extraction using LSTMs on Sequences and Tree Structures M Miwa, M Bansal ACL 2016, 2016	826	2016
LXMERT: Learning Cross-Modality Encoder Representations from Transformers H Tan, M Bansal EMNLP 2019, 2019	553	2019
Towards Universal Paraphrastic Sentence Embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR 2016, 2015	537	2015
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting YC Chen, M Bansal ACL 2018, 2018	379	2018
Tailoring Continuous Word Representations for Dependency Parsing M Bansal, K Gimpel, K Livescu ACL 2014, 2014	348	2014
MAttNet: Modular Attention Network for Referring Expression Comprehension L Yu, Z Lin, X Shen, J Yang, X Lu, M Bansal, TL Berg CVPR 2018, 2018	295	2018
From Paraphrase Database to Compositional Paraphrase Model and Back J Wieting, M Bansal, K Gimpel, K Livescu TACL 2015, 2015	261	2015
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment H Mei, M Bansal, MR Walter NAACL 2016, 2016	242	2016
TVQA: Localized, Compositional Video Question Answering J Lei, L Yu, M Bansal, TL Berg EMNLP 2018, 2018	205	2018
Charagram: Embedding Words and Sentences via Character n-grams J Wieting, M Bansal, K Gimpel, K Livescu EMNLP 2016, 2016	197	2016
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences H Mei, M Bansal, MR Walter AAAI 2016, 2015	191	2015
Adversarial NLI: A New Benchmark for Natural Language Understanding Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela ACL 2020, 2019	183	2019
What are you talking about? Text-to-Image Coreference C Kong, D Lin, M Bansal, R Urtasun, S Fidler CVPR 2014, 2014	182	2014
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions L Yu, H Tan, M Bansal, TL Berg CVPR 2017, 2016	179	2016
Deep Multilingual Correlation for Improved Word Embeddings A Lu, W Wang, M Bansal, K Gimpel, K Livescu NAACL 2015, 2015	145	2015
Combining fact extraction and verification with neural semantic matching networks Y Nie, H Chen, M Bansal Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6859-6866, 2019	138	2019
Shortcut-stacked sentence encoders for multi-domain inference Y Nie, M Bansal EMNLP 2017 RepEval Workshop, 2017	125	2017
Multi-Reward Reinforced Summarization with Saliency and Entailment R Pasunuru, M Bansal NAACL 2018, 2018	121	2018
Who did What: A Large-Scale Person-Centered Cloze Dataset T Onishi, H Wang, M Bansal, K Gimpel, D McAllester EMNLP 2016, 2016	121	2016
The Role of Context Types and Dimensionality in Learning Word Embeddings O Melamud, D McClosky, S Patwardhan, M Bansal NAACL 2016, 2016	120	2016

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