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Facing the most difficult case of Semantic Role Labeling: A collaboration of word embeddings and co-training
Quynh Ngoc Thi Do
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Steven Bethard
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Marie-Francine Moens
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
No Citations Yet
http://creativecommons.org/licenses/by/4.0/
https://code.google.com/archive/p/word2vec/
http://corpus.byu.edu/wiki/
http://about.reuters.com/researchandstandards/corpus/
https://catalog.ldc.upenn.edu/ldc99t42
http://liir.cs.kuleuven.be/software.php
http://www.muse-project.eu/
Field Of Study
Linguistic Trends
Embeddings
Task
Syntactic Parsing
Approach
Deep Learning
Semi-supervised Learning
Language
English
Dataset
News
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