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» Linguistic Knowledge can Improve Information Retrieval
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SEMWEB
2010
Springer
14 years 7 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
CIKM
2005
Springer
15 years 3 months ago
Word sense disambiguation in queries
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in th...
Shuang Liu, Clement T. Yu, Weiyi Meng
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 1 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
SWAP
2007
14 years 11 months ago
Semantic Nearest Neighbor Search in OWL Ontologies
Abstract. A nearest neighbor search procedure is presented, for retrieving resources in knowledge bases expressed in OWL. The procedure exploits a semidistance for annotated resour...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
KES
2008
Springer
14 years 10 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito