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» Parsing the Penn Chinese Treebank with Semantic Knowledge
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FLAIRS
2006
13 years 5 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 2 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 6 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 2 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
11 years 6 months 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...