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» Enriching WordNet to Index and Retrieve Semantic Information
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IADIS
2004
13 years 9 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
EMNLP
2009
13 years 5 months ago
A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval
The use of lexical semantic knowledge in information retrieval has been a field of active study for a long time. Collaborative knowledge bases like Wikipedia and Wiktionary, which...
Christof Müller, Iryna Gurevych
LREC
2008
127views Education» more  LREC 2008»
13 years 9 months ago
MASC: the Manually Annotated Sub-Corpus of American English
To answer the critical need for sharable, reusable annotated resources with rich linguistic annotations, we are developing a Manually Annotated Sub-Corpus (MASC) including texts f...
Nancy Ide, Collin F. Baker, Christiane Fellbaum, C...
ACL
1998
13 years 9 months ago
Bridging the Gap between Dictionary and Thesaurus
This paper presents an algorithm to integrate different lexical resources, through which we hope to overcome the individual inadequacy of the resources, and thus obtain some enric...
Oi Yee Kwong
SAC
2009
ACM
14 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan