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» Probabilistic models of similarity in syntactic context
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ACL
1993
13 years 9 months ago
Distributional Clustering of English Words
We describe and evaluate experimentally a method for clustering words according to their distribution in particular syntactic contexts. Words are represented by the relative frequ...
Fernando C. N. Pereira, Naftali Tishby, Lillian Le...
EMNLP
2009
13 years 6 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
NIPS
2001
13 years 9 months ago
Natural Language Grammar Induction Using a Constituent-Context Model
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
Dan Klein, Christopher D. Manning
EMNLP
2004
13 years 9 months ago
Dependencies vs. Constituents for Tree-Based Alignment
Given a parallel parsed corpus, statistical treeto-tree alignment attempts to match nodes in the syntactic trees for a given sentence in two languages. We train a probabilistic tr...
Daniel Gildea
COLING
2010
13 years 3 months ago
A Working Report on Statistically Modeling Dative Variation in Mandarin Chinese
Dative variation is a widely observed syntactic phenomenon in world languages (e.g. I gave John a book and I gave a book to John). It has been shown that which surface form will b...
Yao Yao, Feng-hsi Liu