Eduard Hovy
Eduard Hovy
University of Melbourne, CMU
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Zitiert von
Zitiert von
Hierarchical attention networks for document classification
Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy
Proceedings of the 2016 conference of the North American chapter of the …, 2016
End-to-end sequence labeling via bi-directional lstm-cnns-crf
X Ma, E Hovy
arXiv preprint arXiv:1603.01354, 2016
Self-training with noisy student improves imagenet classification
Q Xie, MT Luong, E Hovy, QV Le
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Determining the sentiment of opinions
SM Kim, E Hovy
Coling 2004: Proceedings of the 20th international conference on …, 2004
Unsupervised data augmentation for consistency training
Q Xie, Z Dai, E Hovy, T Luong, Q Le
Advances in neural information processing systems 33, 6256-6268, 2020
Automatic evaluation of summaries using n-gram co-occurrence statistics
CY Lin, E Hovy
Proceedings of the 2003 human language technology conference of the North …, 2003
Race: Large-scale reading comprehension dataset from examinations
G Lai, Q Xie, H Liu, Y Yang, E Hovy
arXiv preprint arXiv:1704.04683, 2017
Learning surface text patterns for a question answering system
D Ravichandran, E Hovy
Proceedings of the 40th Annual meeting of the association for Computational …, 2002
OntoNotes: the 90% solution
E Hovy, M Marcus, M Palmer, L Ramshaw, R Weischedel
Proceedings of the human language technology conference of the NAACL …, 2006
Retrofitting word vectors to semantic lexicons
M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith
arXiv preprint arXiv:1411.4166, 2014
Automated text summarization and the SUMMARIST system
E Hovy, CY Lin
TIPSTER TEXT PROGRAM PHASE III: Proceedings of a Workshop held at Baltimore …, 1998
Government 2.0: Making connections between citizens, data and government
S Chun, S Shulman, R Sandoval, E Hovy
Information Polity 15 (1-2), 1-9, 2010
Visualizing and understanding neural models in NLP
J Li, X Chen, E Hovy, D Jurafsky
arXiv preprint arXiv:1506.01066, 2015
Introduction to the special issue on summarization
D Radev, E Hovy, K McKeown
Computational linguistics 28 (4), 399-408, 2002
Harnessing deep neural networks with logic rules
Z Hu, X Ma, Z Liu, E Hovy, E Xing
arXiv preprint arXiv:1603.06318, 2016
A survey of data augmentation approaches for NLP
SY Feng, V Gangal, J Wei, S Chandar, S Vosoughi, T Mitamura, E Hovy
arXiv preprint arXiv:2105.03075, 2021
Extracting opinions, opinion holders, and topics expressed in online news media text
SM Kim, E Hovy
Proceedings of the Workshop on Sentiment and Subjectivity in Text, 1-8, 2006
The automated acquisition of topic signatures for text summarization
CY Lin, E Hovy
COLING 2000 volume 1: The 18th international conference on computational …, 2000
Generating natural language under pragmatic constraints
E Hovy
Journal of Pragmatics 11 (6), 689-719, 1987
Learning the difference that makes a difference with counterfactually-augmented data
D Kaushik, E Hovy, ZC Lipton
arXiv preprint arXiv:1909.12434, 2019
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