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WEBI
2010
Springer
13 years 2 months ago
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web
Latent relational search is a new search paradigm based on the degree of analogy between two word pairs. A latent relational search engine is expected to return the word Paris as a...
Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishiz...
WWW
2009
ACM
14 years 5 months ago
Measuring the similarity between implicit semantic relations from the web
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
ECAI
2008
Springer
13 years 6 months ago
WWW sits the SAT: Measuring Relational Similarity on the Web
Abstract. Measuring relational similarity between words is important in numerous natural language processing tasks such as solving analogy questions and classifying noun-modifier r...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
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...
WWW
2007
ACM
14 years 5 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...