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2010 – today
- 2019
[c23]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) 2019: 4791-4800- [c22]Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov:
Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors. CogSci 2019: 401-407 - [c21]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CVPR 2019: 6720-6731 - [c20]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c19]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Çelikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. EMNLP/IJCNLP (1) 2019: 1494-1499 - [c18]Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox:
Prospection: Interpretable plans from language by predicting the future. ICRA 2019: 6942-6948 - [c17]Jesse Thomason, Daniel Gordon, Yonatan Bisk:
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. NAACL-HLT (1) 2019: 1977-1983 - [c16]Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi:
Benchmarking Hierarchical Script Knowledge. NAACL-HLT (1) 2019: 4077-4085 - [i20]Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov:
Character-based Surprisal as a Model of Human Reading in the Presence of Errors. CoRR abs/1902.00595 (2019) - [i19]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i18]Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox:
Prospection: Interpretable Plans From Language By Predicting the Future. CoRR abs/1903.08309 (2019) - [i17]Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa:
Improving Robot Success Detection using Static Object Data. CoRR abs/1904.01650 (2019) - [i16]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR abs/1905.07830 (2019) - [i15]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. CoRR abs/1905.12616 (2019) - [i14]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Çelikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. CoRR abs/1909.02244 (2019) - [i13]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. CoRR abs/1911.11641 (2019) - 2018
- [c15]Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. AAAI 2018: 5028-5036 - [c14]Yonatan Bisk, Ke Tran:
Inducing Grammars with and for Neural Machine Translation. NMT@ACL 2018: 25-35 - [c13]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. EMNLP 2018: 93-104 - [c12]Yonatan Belinkov, Yonatan Bisk:
Synthetic and Natural Noise Both Break Neural Machine Translation. ICLR 2018 - [i12]Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi:
CHALET: Cornell House Agent Learning Environment. CoRR abs/1801.07357 (2018) - [i11]Rosario Scalise, Yonatan Bisk, Maxwell Forbes, Daqing Yi, Yejin Choi, Siddhartha S. Srinivasa:
Balancing Shared Autonomy with Human-Robot Communication. CoRR abs/1805.07719 (2018) - [i10]Ke Tran, Yonatan Bisk:
Inducing Grammars with and for Neural Machine Translation. CoRR abs/1805.10850 (2018) - [i9]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. CoRR abs/1808.05326 (2018) - [i8]Jesse Thomason, Daniel Gordon, Yonatan Bisk:
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. CoRR abs/1811.00613 (2018) - [i7]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
Early Fusion for Goal Directed Robotic Vision. CoRR abs/1811.08824 (2018) - [i6]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CoRR abs/1811.10830 (2018) - 2017
- [c11]Alice Lai, Yonatan Bisk, Julia Hockenmaier:
Natural Language Inference from Multiple Premises. IJCNLP(1) 2017: 100-109 - [e1]Mohit Bansal, Cynthia Matuszek, Jacob Andreas, Yoav Artzi, Yonatan Bisk:
Proceedings of the First Workshop on Language Grounding for Robotics, RoboNLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-64-7 [contents] - [i5]Alice Lai, Yonatan Bisk, Julia Hockenmaier:
Natural Language Inference from Multiple Premises. CoRR abs/1710.02925 (2017) - [i4]Yonatan Belinkov, Yonatan Bisk:
Synthetic and Natural Noise Both Break Neural Machine Translation. CoRR abs/1711.02173 (2017) - [i3]Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. CoRR abs/1712.03463 (2017) - 2016
- [c10]Yonatan Bisk, Daniel Marcu, William Wong:
Towards a Dataset for Human Computer Communication via Grounded Language Acquisition. AAAI Workshop: Symbiotic Cognitive Systems 2016 - [c9]Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight:
Unsupervised Neural Hidden Markov Models. SPNLP@EMNLP 2016: 63-71 - [c8]Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman:
Evaluating Induced CCG Parsers on Grounded Semantic Parsing. EMNLP 2016: 2022-2027 - [c7]Ashish Vaswani, Yonatan Bisk, Kenji Sagae, Ryan Musa:
Supertagging With LSTMs. HLT-NAACL 2016: 232-237 - [c6]Yonatan Bisk, Deniz Yuret, Daniel Marcu:
Natural Language Communication with Robots. HLT-NAACL 2016: 751-761 - [i2]Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight:
Unsupervised Neural Hidden Markov Models. CoRR abs/1609.09007 (2016) - [i1]Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman:
Evaluating Induced CCG Parsers on Grounded Semantic Parsing. CoRR abs/1609.09405 (2016) - 2015
- [c5]Yonatan Bisk, Christos Christodoulopoulos, Julia Hockenmaier:
Labeled Grammar Induction with Minimal Supervision. ACL (2) 2015: 870-876 - [c4]Yonatan Bisk, Julia Hockenmaier:
Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction. ACL (1) 2015: 1395-1404 - 2013
- [j1]Yonatan Bisk, Julia Hockenmaier:
An HDP Model for Inducing Combinatory Categorial Grammars. TACL 1: 75-88 (2013) - 2012
- [c3]Yonatan Bisk, Julia Hockenmaier:
Simple Robust Grammar Induction with Combinatory Categorial Grammars. AAAI 2012 - [c2]Tim Weninger
, Yonatan Bisk, Jiawei Han:
Document-topic hierarchies from document graphs. CIKM 2012: 635-644 - 2010
- [c1]Julia Hockenmaier, Yonatan Bisk:
Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising. COLING 2010: 465-473
Coauthor Index
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