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EMNLP
2006
13 years 6 months ago
Graph-based Word Clustering using a Web Search Engine
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, Mits...
DATESO
2006
103views Database» more  DATESO 2006»
13 years 6 months ago
Using WordNet Glosses to Refine Google Queries
This paper describes one of the ways how to overcome one of the major limitations of current fulltext search engines. It deals with synonymy of the web search engine results by clu...
Jan Nemrava
DEXA
2006
Springer
160views Database» more  DEXA 2006»
13 years 8 months ago
Clustering of Search Engine Keywords Using Access Logs
Abstract. It the becomes possible that users can get kinds of information by just inputting search keyword(s) representing the topic which users are interested in. But it is not al...
Shingo Otsuka, Masaru Kitsuregawa
WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
13 years 11 months ago
Measuring the similarity between implicit semantic relations using web search engines
Measuring the similarity between implicit semantic relations is an important task in information retrieval and natural language processing. For example, consider the situation whe...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
MM
2006
ACM
217views Multimedia» more  MM 2006»
13 years 11 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...