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Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing
会议论文
FINDINGS OF AACL-IJCNLP, 2022, Virtual, Online, Taiwan, 2022
作者:
Lou, Chao
;
Han, Wenjuan
;
Tu, Kewei
Adobe PDF(467Kb)
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收藏
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浏览/下载:415/0
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提交时间:2023/03/12
Computational linguistics
E-learning
Adjustment algorithms
Classification tasks
Dependency parsing
Empirical studies
Performance
Sparsity regularizations
Adapting unsupervised syntactic parsing methodology for discourse dependency parsing
会议论文
ACL-IJCNLP 2021 - 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, PROCEEDINGS OF THE CONFERENCE, Virtual, Online, August 1, 2021 - August 6, 2021
作者:
Zhang, Liwen
;
Wang, Ge
;
Han, Wenjuan
;
Tu, Kewei
Adobe PDF(2006Kb)
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浏览/下载:470/0
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提交时间:2021/12/03
Computational linguistics
Annotated training data
Dependency parser
Dependency parsing
Discourse parsing
Simple++
Syntactic dependencies
Syntactic parsing
Two
state
Unlabeled data
Unsupervised techniques
Adversarial attack and defense of structured prediction models
会议论文
EMNLP 2020 - 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, PROCEEDINGS OF THE CONFERENCE, Virtual, Online, November 16, 2020 - November 20, 2020
作者:
Han, Wenjuan
;
Zhang, Liwen
;
Jiang, Yong
;
Tu, Kewei
Adobe PDF(867Kb)
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浏览/下载:419/1
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提交时间:2022/12/09
Classification (of information)
Computational linguistics
Forecasting
Natural language processing systems
Dependency parsing
Learn+
Multiple references
Prediction modelling
Prediction tasks
Reference modeling
Sequence models
Small perturbations
Structured prediction
Unified framework
Enhancing unsupervised generative dependency parser with contextual information
会议论文
57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2019, Florence, Italy, July 28, 2019 - August 2, 2019
作者:
Han, Wenjuan
;
Jiang, Yong
;
Tu, Kewei
Adobe PDF(769Kb)
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浏览/下载:771/0
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提交时间:2019/07/03
Computational linguistics
Probability distributionsContextual information
Dependency parser
Generative dependency
Independence assumption
Joint distributions
Probabilistic modeling
State of the art
Unsupervised dependency parsing
Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data
会议论文
16TH INTERNATIONAL CONFERENCE ON PARSING TECHNOLOGIES AND IWPT 2020 SHARED TASK ON PARSING INTO ENHANCED UNIVERSAL DEPENDENCIES, Virtual, Online, United states, July 9, 2020
作者:
Wang, Xinyu
;
Jiang, Yong
;
Tu, Kewei
Adobe PDF(201Kb)
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收藏
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浏览/下载:1024/0
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提交时间:2020/09/18
Computational linguistics
Dependency parsing
Graph-based
Performance
Second orders
Training data
Lexicalized Neural Unsupervised Dependency Parsing
期刊论文
NEUROCOMPUTING, 2019, 卷号: 349, 页码: 105-115
作者:
Han, Wenjuan
;
Jiang, Yong
;
Tu, Kewei
Adobe PDF(1271Kb)
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浏览/下载:692/6
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提交时间:2019/06/04
Unsupervised Dependency Parsing
Neural Network
Lexicalization
Bidirectional transition-based dependency parsing
会议论文
33RD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI 2019, 31ST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE, IAAI 2019 AND THE 9TH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, EAAI 2019, Honolulu, HI, United states, January 27, 2019 - February 1, 2019
作者:
Yuan, Yunzhe
;
Jiang, Yong
;
Tu, Kewei
收藏
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浏览/下载:521/0
|
提交时间:2022/12/09
Syntactics
Artificial intelligence
Dependency parser
Dependency parsing
Dual decomposition
Early prediction
Effective approaches
Joint decoding
ON dynamics
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