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» Using Web-Search Results to Measure Word-Group Similarity
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COLING
2008
14 years 11 months ago
Using Web-Search Results to Measure Word-Group Similarity
Semantic relatedness between words is important to many NLP tasks, and numerous measures exist which use a variety of resources. Thus far, such work is confined to measuring simil...
Ann Gledson, John Keane
111
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EMNLP
2006
14 years 11 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...
131
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WWW
2007
ACM
15 years 10 months ago
Measuring semantic similarity between words using web search engines
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in semantic web-related applications such as community mi...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
15 years 4 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...
EP
1998
Springer
15 years 1 months ago
Measuring Structural Similarity Among Web Documents: Preliminary Results
When we describe a Web page informally, we often use phrases like it looks like a newspaper site", there are several unordered lists" or it's just a collection of li...
Isabel F. Cruz, Slava Borisov, Michael A. Marks, T...