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ISITA
2010
13 years 6 months ago
Approximating discrete probability distributions with causal dependence trees
Abstract--Chow and Liu considered the problem of approximating discrete joint distributions with dependence tree distributions where the goodness of the approximations were measure...
Christopher J. Quinn, Todd P. Coleman, Negar Kiyav...
ACL
2009
13 years 6 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ACL
2009
13 years 6 months ago
Cross Language Dependency Parsing using a Bilingual Lexicon
This paper proposes an approach to enhance dependency parsing in a language by using a translated treebank from another language. A simple statistical machine translation method, ...
Hai Zhao, Yan Song, Chunyu Kit, Guodong Zhou
EMNLP
2009
13 years 6 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,...
EMNLP
2009
13 years 6 months ago
Descriptive and Empirical Approaches to Capturing Underlying Dependencies among Parsing Errors
In this paper, we provide descriptive and empirical approaches to effectively extracting underlying dependencies among parsing errors. In the descriptive approach, we define some ...
Tadayoshi Hara, Yusuke Miyao, Jun-ichi Tsujii