Sciweavers

135 search results - page 9 / 27
» Using WordNet to Disambiguate Word Senses for Text Classific...
Sort
View
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
LREC
2010
213views Education» more  LREC 2010»
13 years 9 months ago
Extensive Evaluation of a FrameNet-WordNet mapping resource
Lexical resources are basic components of many text processing system devoted to information extraction, question answering or dialogue. In paste years many resources have been de...
Diego De Cao, Danilo Croce, Roberto Basili
LREC
2010
182views Education» more  LREC 2010»
13 years 9 months ago
Wikicorpus: A Word-Sense Disambiguated Multilingual Wikipedia Corpus
This article presents a new freely available trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia and has been automatically enriched with l...
Samuel Reese, Gemma Boleda, Montse Cuadros, Llu&ia...
ACL
2008
13 years 9 months ago
Classification of Semantic Relationships between Nominals Using Pattern Clusters
There are many possible different semantic relationships between nominals. Classification of such relationships is an important and difficult task (for example, the well known nou...
Dmitry Davidov, Ari Rappoport
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 11 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman