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» Decision Tree Parsing using a Hidden Derivation Model
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87
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NAACL
1994
15 years 3 months ago
Decision Tree Parsing using a Hidden Derivation Model
Frederick Jelinek, John D. Lafferty, David M. Mage...
164
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EMNLP
2007
15 years 4 months ago
Probabilistic Models of Nonprojective Dependency Trees
A notable gap in research on statistical dependency parsing is a proper conditional probability distribution over nonprojective dependency trees for a given sentence. We exploit t...
David A. Smith, Noah A. Smith
110
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NAACL
2003
15 years 3 months ago
Sentence Level Discourse Parsing using Syntactic and Lexical Information
We introduce two probabilistic models that can be used to identify elementary discourse units and build sentence-level discourse parse trees. The models use syntactic and lexical ...
Radu Soricut, Daniel Marcu
106
Voted
FLAIRS
2007
15 years 4 months ago
Naive Bayes and Decision Trees for Function Tagging
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
Mihai C. Lintean, Vasile Rus
91
Voted
IJCPOL
2002
112views more  IJCPOL 2002»
15 years 2 months ago
Korean Speech Act Analysis System Using Hidden Markov Model with Decision Trees
Songwook Lee, Jungyun Seo