Verbs represent a way In which ontological relationships between concepts and instances are expressed in natural language utterances. Moreover, an organized network of semantically related verbs can play a crucial role in applications. For example, if a Question-Answering system could exploit the direction of the entailment relation win → play, it may expand the question "Who played against Liverpool?" with "X won against Liverpool" and it may avoid the expansion of "Who won against Liverpool?" in "X played against Liverpool" that would be wrong. In this paper, we present a survey of the methods proposed to extract verb relations in corpora. These methods can be divided in two classes: those using the Harris distributional hypothesis and those based on point-wise assertions. These methods are analysed and compared. © Springer-Verlag Berlin Heidelberg 2006.

Pazienza, M.t., Pennacchiotti, M., Zanzotto, F.m. (2006). Discovering verb relations in corpora: Distributional versus non-distributional approaches. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.1042-1052). Springer Verlag [10.1007/11779568_111].

Discovering verb relations in corpora: Distributional versus non-distributional approaches

PAZIENZA, MARIA TERESA;ZANZOTTO, FABIO MASSIMO
2006-01-01

Abstract

Verbs represent a way In which ontological relationships between concepts and instances are expressed in natural language utterances. Moreover, an organized network of semantically related verbs can play a crucial role in applications. For example, if a Question-Answering system could exploit the direction of the entailment relation win → play, it may expand the question "Who played against Liverpool?" with "X won against Liverpool" and it may avoid the expansion of "Who won against Liverpool?" in "X played against Liverpool" that would be wrong. In this paper, we present a survey of the methods proposed to extract verb relations in corpora. These methods can be divided in two classes: those using the Harris distributional hypothesis and those based on point-wise assertions. These methods are analysed and compared. © Springer-Verlag Berlin Heidelberg 2006.
19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006
Annecy, fra
2006
Rilevanza internazionale
2006
Settore INF/01 - INFORMATICA
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
English
Computer Science (all); Theoretical Computer Science
http://springerlink.com/content/0302-9743/copyright/2005/
Intervento a convegno
Pazienza, M.t., Pennacchiotti, M., Zanzotto, F.m. (2006). Discovering verb relations in corpora: Distributional versus non-distributional approaches. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.1042-1052). Springer Verlag [10.1007/11779568_111].
Pazienza, Mt; Pennacchiotti, M; Zanzotto, Fm
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/165461
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