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» Automatic Retrieval and Clustering of Similar Words
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WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
14 years 15 hour 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...
CVPR
2008
IEEE
14 years 7 months ago
Utilizing semantic word similarity measures for video retrieval
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Yusuf Aytar, Mubarak Shah, Jiebo Luo
IUI
2005
ACM
13 years 10 months ago
Context-based similar words detection and its application in specialized search engines
This paper presents a new context-based method for automatic detection and extraction of similar and related words from texts. Finding similar words is a very important task for m...
Hisham Al-Mubaid, Ping Chen
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...
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...