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» Applying Co-Training Methods to Statistical Parsing
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NAACL
2001
13 years 7 months ago
Applying Co-Training Methods to Statistical Parsing
We propose a novel Co-Training method for statistical parsing. The algorithm takes as input a small corpus (9695 sentences) annotated with parse trees, a dictionary of possible le...
Anoop Sarkar
15
Voted
ACL
1998
13 years 7 months ago
A Connectionist Architecture for Learning to Parse
We present a connectionist architecture and demonstrate that it can learn syntactic parsing from a corpus of parsed text. The architecture can represent syntactic constituents, an...
James Henderson, Peter Lane
EMNLP
2007
13 years 7 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
NLPRS
2001
Springer
13 years 10 months ago
Resolving Ambiguity in Inter-chunk Dependency Parsing
Recently, dependency grammar has become quite popular in relatively free word-order languages. We encounter many structural ambiguities when parsing a sentence using dependency gr...
Mi-Young Kim, Sin-Jae Kang, Jong-Hyeok Lee
ACL
2007
13 years 7 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...