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Alias assignment in information extraction

Author
Padro, L.; Turmo, J.; Sapena, E.
Type of activity
Presentation of work at congresses
Name of edition
XXIII Congreso Anual de la Sociedad Española para el Procesamiento del Lenguaje Natural
Date of publication
2007
Book of congress proceedings
Actas del 23rd Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural
First page
1
Last page
2
Publisher
-
Repository
http://hdl.handle.net/2117/7540 Open in new window
Abstract
This paper presents a general method for alias assignment task in information extraction. We compared two approaches to face the problem and learn a classifier. The first one quantifies a global similarity between the alias and all the possible entities weighting some features about each pair alias-entity. The second is a classical classifier where each instance is a pair alias-entity and its attributes are their features. Both approaches use the same feature functions about the pair alias-entit...
Citation
Sapena, E.; Padró, L.; Turmo, J. Alias assignment in information extraction. A: XXIII Congreso Anual de la Sociedad Española para el Procesamiento del Lenguaje Natural. "XXIII Congreso Anual de la Sociedad Española para el Procesamiento del Lenguaje Natural". Sevilla: -, 2007, p. 1-2.
Group of research
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications

Participants