EvalIta 2011: The frame labeling over Italian texts task

Roberto Basili, Diego De Cao, Alessandro Lenci, Alessandro Moschitti, Giulia Venturi

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

3 Citations (Scopus)

Abstract

The Frame Labeling over Italian Texts (FLaIT) task held within the EvalIta 2011 challenge is here described. It focuses on the automatic annotation of free texts according to frame semantics. Systems were asked to label all semantic frames and their arguments, as evoked by predicate words occurring in plain text sentences. Proposed systems are based on a variety of learning techniques and achieve very good results, over 80% of accuracy, in most subtasks.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages195-204
Number of pages10
Volume7689 LNAI
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
EventInternational Workshop on Evaluation of Natural Language and Speech Tools for Italian, EVALITA 2011 - Rome, Italy
Duration: 24 Jan 201225 Jan 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7689 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Workshop on Evaluation of Natural Language and Speech Tools for Italian, EVALITA 2011
CountryItaly
CityRome
Period24/1/1225/1/12

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Keywords

  • Frame Semantics
  • NLP System Evaluation
  • Shallow Semantic Parsing

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Basili, R., De Cao, D., Lenci, A., Moschitti, A., & Venturi, G. (2013). EvalIta 2011: The frame labeling over Italian texts task. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7689 LNAI, pp. 195-204). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7689 LNAI). https://doi.org/10.1007/978-3-642-35828-9_21