A tree kernel-based shallow semantic parser for thematic role extraction

Daniele Pighin, Alessandro Moschitti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of information but automatic parse trees of the input sentences. We use a few attribute-value features and tree kernel functions applied to specialized structured features. Different configurations of our thematic role labeling system took part in 2 tasks of the SemEval 2007 evaluation campaign, namely the closed tasks on semantic role labeling for the English and the Arabic languages. In this paper we present and discuss the system configuration that participated in the English semantic role labeling task and present new results obtained after the end of the evaluation campaign.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages350-361
Number of pages12
Volume4733 LNAI
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007 - Rome, Italy
Duration: 10 Sep 200713 Sep 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4733 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007
CountryItaly
CityRome
Period10/9/0713/9/07

Fingerprint

Semantics
Labeling
Language
kernel
Configuration
Evaluation
Kernel Function
Natural Language
Attribute
Closed

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Pighin, D., & Moschitti, A. (2007). A tree kernel-based shallow semantic parser for thematic role extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4733 LNAI, pp. 350-361). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4733 LNAI).

A tree kernel-based shallow semantic parser for thematic role extraction. / Pighin, Daniele; Moschitti, Alessandro.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4733 LNAI 2007. p. 350-361 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4733 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pighin, D & Moschitti, A 2007, A tree kernel-based shallow semantic parser for thematic role extraction. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4733 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4733 LNAI, pp. 350-361, 10th Congress of the Italian Association for Artificial Intelligence, AI IA 2007, Rome, Italy, 10/9/07.
Pighin D, Moschitti A. A tree kernel-based shallow semantic parser for thematic role extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4733 LNAI. 2007. p. 350-361. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Pighin, Daniele ; Moschitti, Alessandro. / A tree kernel-based shallow semantic parser for thematic role extraction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4733 LNAI 2007. pp. 350-361 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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