178 citations · 241 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
Learning Dependencies between Case Frame Slots
Hang Li, Naoki Abe
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we propose a method of learning dependencies bet…
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…