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FrameNet CNL: A knowledge representation and information extraction language

  • University of Latvia

Research output: Chapter in Book/Report/Conference proceedingConference paperResearchpeer-review

9 Citations (Scopus)

Abstract

The paper presents a FrameNet-based information extraction and knowledge representation framework, called FrameNet-CNL. The framework is used on natural language documents and represents the extracted knowledge in a tailor-made Frame-ontology from which unambiguous FrameNet-CNL paraphrase text can be generated automatically in multiple languages. This approach brings together the fields of information extraction and CNL, because a source text can be considered belonging to FrameNet-CNL, if information extraction parser produces the correct knowledge representation as a result. We describe a state-of-the-art information extraction parser used by a national news agency and speculate that FrameNet-CNL eventually could shape the natural language subset used for writing the newswire articles.

Original languageEnglish
Title of host publicationControlled Natural Language - 4th International Workshop, CNL 2014, Proceedings
PublisherSpringer Verlag
Pages90-101
Number of pages12
ISBN (Print)9783319102221
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event4th International Workshop on Controlled Natural Language, CNL 2014 - Galway, Ireland
Duration: 20 Aug 201422 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8625 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Workshop on Controlled Natural Language, CNL 2014
Country/TerritoryIreland
CityGalway
Period20/08/1422/08/14

Keywords

  • FrameNet
  • information extraction
  • knowledge representation

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