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» Parsing the Penn Chinese Treebank with Semantic Knowledge
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FLAIRS
2006
13 years 11 months ago
A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manual...
Jiajun Yan, David B. Bracewell, Fuji Ren, Shingo K...
EMNLP
2009
13 years 7 months ago
Improving Dependency Parsing with Subtrees from Auto-Parsed Data
This paper presents a simple and effective approach to improve dependency parsing by using subtrees from auto-parsed data. First, we use a baseline parser to parse large-scale una...
Wenliang Chen, Jun'ichi Kazama, Kiyotaka Uchimoto,...
COLING
2008
13 years 11 months ago
Chinese Dependency Parsing with Large Scale Automatically Constructed Case Structures
This paper proposes an approach using large scale case structures, which are automatically constructed from both a small tagged corpus and a large raw corpus, to improve Chinese d...
Kun Yu, Daisuke Kawahara, Sadao Kurohashi
ACL
2009
13 years 7 months ago
Exploiting Heterogeneous Treebanks for Parsing
We address the issue of using heterogeneous treebanks for parsing by breaking it down into two sub-problems, converting grammar formalisms of the treebanks to the same one, and pa...
Zheng-Yu Niu, Haifeng Wang, Hua Wu
ACL
2012
12 years 6 days ago
Head-driven Transition-based Parsing with Top-down Prediction
This paper presents a novel top-down headdriven parsing algorithm for data-driven projective dependency analysis. This algorithm handles global structures, such as clause and coor...
Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara...