Annotating an extension layer of semantic structure for natural language text

Yulan Yan, Yutaka Matsuo, Mitsuru Ishizuka, Toshio Yokoi

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

9 Citations (Scopus)

Abstract

Confronting the challenges of annotating naturally occurring text into a semantically structured form to facilitate automatic information extraction, current Semantic Role Labeling (SRL) systems have been specifically examining a semantic predicate-argument structure. Based on the Concept Description Language for Natural Language (CDL.nl) which is intended to describe the concept structure of text using a set of pre-defined semantic relations, we develop a parser to add a new layer of semantic annotation of natural language sentences as an extension of SRL. The parsing task is a relation extraction process with two steps: relation detection and relation classification. We advance a hybrid approach using different methods for two steps: first, based on dependency analysis, a rule-based method is presented to detect all entity pairs between each pair for which there exists a relationship; secondly, we use a feature-based method to assign a CDL.nl relation to each detected entity pair using Support Vector Machine. We report the preliminary experimental results carried out on our manual dataset annotated with CDL.nl relations.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
Pages174-181
Number of pages8
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008 - Santa Clara, CA
Duration: 2008 Aug 42008 Aug 7

Other

Other2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008
CitySanta Clara, CA
Period08/8/408/8/7

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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  • Cite this

    Yan, Y., Matsuo, Y., Ishizuka, M., & Yokoi, T. (2008). Annotating an extension layer of semantic structure for natural language text. In Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008 (pp. 174-181). [4597189] https://doi.org/10.1109/ICSC.2008.11