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LREC
2010
188views Education» more  LREC 2010»
13 years 6 months ago
How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
Hai Zhao, Yan Song, Chunyu Kit
ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
13 years 11 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
IRAL
2003
ACM
13 years 10 months ago
Issues in pre- and post-translation document expansion: untranslatable cognates and missegmented words
Query expansion by pseudo-relevance feedback is a well-established technique in both mono- and cross- lingual information retrieval, enriching and disambiguating the typically ter...
Gina-Anne Levow
CIKM
2005
Springer
13 years 10 months ago
Query expansion using term relationships in language models for information retrieval
Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries...
Jing Bai, Dawei Song, Peter Bruza, Jian-Yun Nie, G...
ECIR
2011
Springer
12 years 8 months ago
Combining Global and Local Semantic Contexts for Improving Biomedical Information Retrieval
In the context of biomedical information retrieval (IR), this paper explores the relationship between the document’s global context and the query’s local context in an attempt ...
Duy Dinh, Lynda Tamine