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Greg Durrett
Greg Durrett
Associate Professor of Computer Science, UT Austin
Verified email at cs.utexas.edu - Homepage
Title
Cited by
Cited by
Year
A Joint Model for Entity Analysis: Coreference, Typing, and Linking
G Durrett, D Klein
Transactions of the Association for Computational Linguistics 2, 477-490, 2014
3102014
Easy victories and uphill battles in coreference resolution
G Durrett, D Klein
Proceedings of the 2013 Conference on Empirical Methods in Natural Language íK, 2013
2942013
News Summarization and Evaluation in the Era of GPT-3
T Goyal, JJ Li, G Durrett
arXiv preprint arXiv:2209.12356, 2022
2442022
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
M Francis-Landau, G Durrett, D Klein
Proceedings of the 2016 Conference of the North American Chapter of the íK, 2016
2282016
Calibration of Pre-trained Transformers
S Desai, G Durrett
Proceedings of the 2020 Conference on Empirical Methods in Natural Language íK, 2020
2162020
Spherical Latent Spaces for Stable Variational Autoencoders
J Xu, G Durrett
Proceedings of the 2018 Conference on Empirical Methods in Natural Language íK, 2018
1972018
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
G Durrett, T Berg-Kirkpatrick, D Klein
Proceedings of the 54th Annual Meeting of the Association for Computational íK, 2016
1922016
Neural Extractive Text Summarization with Syntactic Compression
J Xu, G Durrett
Proceedings of the 2019 Conference on Empirical Methods in Natural Language íK, 2019
1712019
Neural CRF Parsing
G Durrett, D Klein
Proceedings of the 53rd Annual Meeting of the Association for Computational íK, 2015
1562015
Supervised Learning of Complete Morphological Paradigms.
G Durrett, J DeNero
Proceedings of the 2013 Conference of the North American Chapter of the íK, 2013
1532013
Byte Pair Encoding is Suboptimal for Language Model Pretraining
K Bostrom, G Durrett
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
1492020
Annotating and Modeling Fine-grained Factuality in Summarization
T Goyal, G Durrett
Proceedings of the 2021 Conference of the North American Chapter of the íK, 2021
1262021
Lambdanet: Probabilistic type inference using graph neural networks
J Wei, M Goyal, G Durrett, I Dillig
Proceedings of the International Conference on Learning Representations (ICLR), 2020
1212020
The unreliability of explanations in few-shot prompting for textual reasoning
X Ye, G Durrett
Advances in neural information processing systems 35, 30378-30392, 2022
116*2022
Evaluating Factuality in Generation with Dependency-level Entailment
T Goyal, G Durrett
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
1092020
Tools for Automated Analysis of Cybercriminal Markets
RS Portnoff, S Afroz, G Durrett, JK Kummerfeld, T Berg-Kirkpatrick, ...
Proceedings of the 26th International Conference on World Wide Web, 657-666, 2017
1072017
Understanding Dataset Design Choices for Multi-hop Reasoning
J Chen, G Durrett
Proceedings of the 2019 Conference of the North American Chapter of the íK, 2019
952019
Fine-grained entity typing for domain independent entity linking
Y Onoe, G Durrett
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8576-8583, 2020
912020
Neural Syntactic Preordering for Controlled Paraphrase Generation
T Goyal, G Durrett
Proceedings of the 58th Annual Meeting of the Association for Computational íK, 2020
902020
Multi-hop Question Answering via Reasoning Chains
J Chen, S Lin, G Durrett
arXiv preprint arXiv:1910.02610, 2019
822019
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