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» A non-projective dependency parser
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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,...
EMNLP
2009
13 years 7 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
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
LREC
2010
154views Education» more  LREC 2010»
13 years 11 months ago
Comparing the Influence of Different Treebank Annotations on Dependency Parsing
As the interest of the NLP community grows to develop several treebanks also for languages other than English, we observe efforts towards evaluating the impact of different annota...
Cristina Bosco, Simonetta Montemagni, Alessandro M...
EMNLP
2007
13 years 11 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson