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» Word Vectors and Two Kinds of Similarity
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EMNLP
2006
14 years 8 days 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...
EACL
2009
ACL Anthology
14 years 11 months ago
Using Lexical and Relational Similarity to Classify Semantic Relations
Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-bas...
Ann A. Copestake, Diarmuid Ó Séaghdh...
ECAI
2008
Springer
14 years 20 days 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...
ICIP
2001
IEEE
15 years 14 days ago
Word shape recognition for image-based document retrieval
In this paper, we propose a word shape recognition method for retrieving image-based documents. Document images are segmented at the word level first. Then the proposed method det...
Weihua Huang, Chew Lim Tan, Sam Yuan Sung, Yi Xu
WWW
2011
ACM
13 years 5 months ago
A word at a time: computing word relatedness using temporal semantic analysis
Computing the degree of semantic relatedness of words is a key functionality of many language applications such as search, clustering, and disambiguation. Previous approaches to c...
Kira Radinsky, Eugene Agichtein, Evgeniy Gabrilovi...