Dependency Parsing Domain Adaptation using Transductive SVM
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Dependency ParsingDomain AdaptationSimilar Papers 제목 키워드 기반
Semi-supervised Domain Adaptation for Dependency Parsing
2019-07-01 · ACL 2019 7
· Zhenghua Li, Xue Peng, Min Zhang, Rui Wang 외
During the past decades, due to the lack of sufficient labeled data, most studies on cross-domain parsing focus on unsupervised domain adaptation, assuming there is no target-domain training data. However, unsupervised a…
Chinese Dependency ParsingDependency ParsingDomain AdaptationMulti-Task Learning+2Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing
2021-11-01 · Findings (EMNLP) 2021 11
· Boda Lin, Mingzheng Li, Si Li, Yong Luo
Unsupervised cross-domain dependency parsing is to accomplish domain adaptation for dependency parsing without using labeled data in target domain. Existing methods are often of the pseudo-annotation type, which generate…
Dependency ParsingDomain AdaptationUnsupervised Domain AdaptationCross-Lingual Domain Adaptation for Dependency Parsing
2020-10-01 · TLT (ACL) 2020 10
· Sara Stymne
Dependency ParsingDomain Adaptation
Domain Adaptation for Dependency Parsing via Self-Training
2015-07-01 · WS 2015 7
· Juntao Yu, Mohab El-karef, Bernd Bohnet
Constituency ParsingDependency ParsingDomain Adaptation
Adversarial Training for Cross-Domain Universal Dependency Parsing
2017-08-01 · CONLL 2017 8
· Motoki Sato, Hitoshi Manabe, Hiroshi Noji, Yuji Matsumoto
We describe our submission to the CoNLL 2017 shared task, which exploits the shared common knowledge of a language across different domains via a domain adaptation technique. Our approach is an extension to the recently …
Dependency ParsingDomain Adaptation