178 citations · 228 across the 5 of their papers we have counts for
5 papers
Word Clustering and Disambiguation Based on Co-occurrence Data
Hang Li, Naoki Abe
We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disam…
Learning Word Association Norms Using Tree Cut Pair Models
Naoki Abe, Hang Li
We consider the problem of learning co-occurrence information between two word categories, or more in general between two discrete random variables taking values in a hierarchicall…
Clustering Words with the MDL Principle
Hang Li, Naoki Abe
We address the problem of automatically constructing a thesaurus (hierarchically clustering words) based on corpus data. We view the problem of clustering words as that of estimati…
On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms
Naoki Abe, Hang Li, Atsuyoshi Nakamura
We consider the problem of learning a certain type of lexical semantic knowledge that can be expressed as a binary relation between words, such as the so-called sub-categorization…
Generalizing Case Frames Using a Thesaurus and the MDL Principle
Hang Li, Naoki Abe
We address the problem of automatically acquiring case-frame patterns from large corpus data. In particular, we view this problem as the problem of estimating a (conditional) distr…