Shallow semantic parsing based on FrameNet, VerbNet and PropBank

Ana Maria Giuglea, Alessandro Moschitti

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Citations (Scopus)

Abstract

This article describes a semantic parser based on FrameNet semantic roles that uses a broad knowledge base created by interconnecting three major resources: FrameNet, VerbNet and PropBank. We link the above resources through a mapping between Intersective Levin classes, which are part of PropBank's annotation, and the FrameNet frames. By using Levin classes, we successfully detect FrameNet semantic roles without relying on the frame information. At the same time, the combined usage of the above resources increases the verb coverage and confers more robustness to our parser. The experiments with Support Vector Machines on automatic Levin class detection suggest that (a) tree kernels are well suited for the task and (b) Intersective Levin classes can be used to improve the accuracy of semantic parsing based on FrameNet roles.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
Pages563-567
Number of pages5
Volume141
Publication statusPublished - 1 Dec 2006
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume141
ISSN (Print)09226389

Fingerprint

Semantics
Support vector machines
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Giuglea, A. M., & Moschitti, A. (2006). Shallow semantic parsing based on FrameNet, VerbNet and PropBank. In Frontiers in Artificial Intelligence and Applications (Vol. 141, pp. 563-567). (Frontiers in Artificial Intelligence and Applications; Vol. 141).

Shallow semantic parsing based on FrameNet, VerbNet and PropBank. / Giuglea, Ana Maria; Moschitti, Alessandro.

Frontiers in Artificial Intelligence and Applications. Vol. 141 2006. p. 563-567 (Frontiers in Artificial Intelligence and Applications; Vol. 141).

Research output: Chapter in Book/Report/Conference proceedingChapter

Giuglea, AM & Moschitti, A 2006, Shallow semantic parsing based on FrameNet, VerbNet and PropBank. in Frontiers in Artificial Intelligence and Applications. vol. 141, Frontiers in Artificial Intelligence and Applications, vol. 141, pp. 563-567.
Giuglea AM, Moschitti A. Shallow semantic parsing based on FrameNet, VerbNet and PropBank. In Frontiers in Artificial Intelligence and Applications. Vol. 141. 2006. p. 563-567. (Frontiers in Artificial Intelligence and Applications).
Giuglea, Ana Maria ; Moschitti, Alessandro. / Shallow semantic parsing based on FrameNet, VerbNet and PropBank. Frontiers in Artificial Intelligence and Applications. Vol. 141 2006. pp. 563-567 (Frontiers in Artificial Intelligence and Applications).
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