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» Indexing with WordNet synsets can improve Text Retrieval
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CORR
1998
Springer
128views Education» more  CORR 1998»
13 years 4 months ago
Indexing with WordNet synsets can improve Text Retrieval
The classical, vector space model for text retrieval is shown to give better results (up to 29% better in our experiments) if WordNet synsets are chosen as the indexing space, ins...
Julio Gonzalo, Felisa Verdejo, Irina Chugur, Juan ...
ANLP
2000
123views more  ANLP 2000»
13 years 6 months ago
Word Sense Disambiguation for Cross-Language Information Retrieval
We have developed a word sense disambiguation algorithm, following Cheng and Wilensky (1997), to disambiguate among WordNet synsets. This algorithm is to be used in a cross-langua...
Xiaoyong Liu, Ted Diamond, Anne Diekema
CLEF
2006
Springer
13 years 8 months ago
A WordNet-Based Indexing Technique for Geographical Information Retrieval
Abstract. This paper presents an indexing technique based on WordNet synonyms and holonyms. This technique has been developed for the Geographical Information Retrieval task. It ma...
Davide Buscaldi, Paolo Rosso, Emilio Sanchis
SAC
2005
ACM
13 years 10 months ago
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
Dario Bonino, Fulvio Corno, Federico Pescarmona
LREC
2010
182views Education» more  LREC 2010»
13 years 6 months ago
Aligning FrameNet and WordNet based on Semantic Neighborhoods
This paper presents an algorithm for aligning FrameNet lexical units to WordNet synsets. Both, FrameNet and WordNet, are well-known as well as widely-used resources by the entire ...
Óscar Ferrández, Michael Ellsworth, ...