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NAACL
2003
13 years 7 months ago
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
This paper describes an unsupervised algorithm for placing unknown words into a taxonomy and evaluates its accuracy on a large and varied sample of words. The algorithm works by ï...
Dominic Widdows
JIIS
2006
73views more  JIIS 2006»
13 years 6 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor
ACL
2006
13 years 7 months ago
Japanese Dependency Parsing Using Co-Occurrence Information and a Combination of Case Elements
In this paper, we present a method that improves Japanese dependency parsing by using large-scale statistical information. It takes into account two kinds of information not consi...
Takeshi Abekawa, Manabu Okumura
ACL
1996
13 years 7 months ago
The Selection of the Most Probable Dependency Structure in Japanese Using Mutual Information
We use a statistical method to select the most probable structure or parse for a given sentence. It takes as input the dependency structures generated for the sentence by a depend...
Eduardo de Paiva Alves
RIAO
1997
13 years 7 months ago
An Analysis of Statistical and Syntactic Phrases
As the amount of textual information available through the World Wide Web grows, there is a growing need for high-precision IR systems that enable a user to nd useful information ...
Mandar Mitra, Chris Buckley, Amit Singhal, Claire ...