论文信息 - Hypothesizing Word Association From Untagged Text

Hypothesizing Word Association From Untagged Text

This paper reports a new method for suggesting word associations, based on a greedy algorithm that employs Chi-square statistics on joint frequencies of pairs of word groups compared against chance co-occurrence. The benefits of this new approach are: 1) we can consider even low frequency words and word pairs, and 2) word groups and word associations can be automatically generated. The method provided 87% accuracy in hypothesizing word associations for unobserved combinations of words in Japanese text.

Tomoyoshi Matsukawa | Tomoyoshi Matsukawa

[1] Tomoyoshi Matsukawa,et al. Development of the Concept Dictionary - Implementation of Lexical Knowledge , 1991, SIGLEX Workshop.

[2] Kathleen McKeown,et al. Automatically Extracting and Representing Collocations for Language Generation , 1990, ACL.

[3] Kenneth Ward Church,et al. Word Association Norms, Mutual Information, and Lexicography , 1989, ACL.

[4] Donald Hindle,et al. Noun Classification From Predicate-Argument Structures , 1990, ACL.

[5] Philip Resnik. A Class-Based Approach to Lexical Discovery , 1992, ACL.

[6] L MercerRobert,et al. Class-based n-gram models of natural language , 1992 .

[7] S. T. Buckland,et al. An Introduction to the Bootstrap. , 1994 .

[8] R. A. Fox,et al. Introduction to Mathematical Statistics , 1947 .

[9] W. Dixon,et al. Introduction to Mathematical Statistics. , 1964 .

[10] Scott Miller,et al. Example-Based Correction of Word Segmentation and Part of Speech Labelling , 1993, HLT.

[11] J. Jenkins,et al. Word association norms , 1964 .

[12] Ralph M. Weischedel,et al. Partial Parsing: A Report on Work in Progress , 1991, HLT.

[13] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.