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ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Word Topical Mixture Models for Extractive Spoken Document Summarization
This paper considers extractive summarization of Chinese spoken documents. In contrast to conventional approaches, we attempt to deal with the extractive summarization problem und...
Berlin Chen, Yi-Ting Chen
FSKD
2007
Springer
354views Fuzzy Logic» more  FSKD 2007»
15 years 3 months ago
Using Fuzzy-Word Correlation Factors to Compute Document Similarity Based on Phrase Matching
One of the Web information Retrieval (IR) problems these days is to identify redundant information that exist in (replicated) Web documents. These documents can easily be found in...
Jun won Lee, Yiu-Kai Ng
IADIS
2004
14 years 11 months ago
Recognizing Article Errors Based on the Three Head Words
In this paper, we present a statistical model for detecting article errors, which Japanese learners of English often make in English writing. The model detects article errors base...
Ryo Nagata, Fumito Masui, Atsuo Kawai, Naoki Isu
CORR
1998
Springer
87views Education» more  CORR 1998»
14 years 9 months ago
Word Clustering and Disambiguation Based on Co-occurrence Data
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 disa...
Hang Li, Naoki Abe
ACL
1996
14 years 11 months ago
Unsupervised Learning of Word-Category Guessing Rules
Words unknown to the lexicon present a substantial problem to part-of-speech tagging. In this paper we present a technique for fully unsupervised statistical acquisition of rules ...
Andrei Mikheev