Sciweavers

209 search results - page 11 / 42
» Extracting Named Entities and Synonyms from Wikipedia
Sort
View
LREC
2008
115views Education» more  LREC 2008»
13 years 9 months ago
Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
Recently, collaboratively constructed resources such as Wikipedia and Wiktionary have been discovered as valuable lexical semantic knowledge bases with a high potential in diverse...
Torsten Zesch, Christof Müller, Iryna Gurevyc...
COLING
2002
13 years 7 months ago
Fine Grained Classification of Named Entities
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...
Michael Fleischman, Eduard H. Hovy
COLING
2002
13 years 7 months ago
Efficient Support Vector Classifiers for Named Entity Recognition
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
Hideki Isozaki, Hideto Kazawa
LREC
2010
175views Education» more  LREC 2010»
13 years 9 months ago
Adapting a resource-light highly multilingual Named Entity Recognition system to Arabic
We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organiz...
Wajdi Zaghouani, Bruno Pouliquen, Mohamed Ebrahim,...
NLDB
2007
Springer
14 years 1 months ago
Applying Wikipedia's Multilingual Knowledge to Cross-Lingual Question Answering
The application of the multilingual knowledge encoded in Wikipedia to an open–domain Cross–Lingual Question Answering system based on the Inter Lingual Index (ILI) module of Eu...
Sergio Ferrández, Antonio Toral, Ósc...