Semantic frame-based natural language understanding for intelligent topic detection agent

Yung Chun Chang, Yu Lun Hsieh, Cen Chieh Chen, Wen Lian Hsu

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

Abstract

Detecting the topic of documents can help readers construct the background of the topic and facilitate document comprehension. In this paper, we proposed a semantic frame-based method for topic detection that simulates such process in human perception. We took advantage of multiple knowledge sources and identified discriminative patterns from documents through frame generation and matching mechanisms. Results demonstrated that our novel approach can effectively detect the topic of a document by exploiting the syntactic structures, semantic association, and the context within the text. Moreover, it also outperforms well-known topic detection methods.

Original languageEnglish
Title of host publicationModern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings
PublisherSpringer Verlag
Pages339-348
Number of pages10
Volume8481
ISBN (Electronic)9783319074542
Publication statusPublished - 2014
Externally publishedYes
Event27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 - Kaohsiung, Taiwan
Duration: Jun 3 2014Jun 6 2014

Conference

Conference27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014
CountryTaiwan
CityKaohsiung
Period6/3/146/6/14

Fingerprint

Natural Language
Semantics
Human Perception
Syntactics
Syntax
Background
Context
Text
Knowledge

Keywords

  • PartialMatching
  • Semantic Class
  • Semantic Frame
  • Sequence Alignment
  • Topic Detection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chang, Y. C., Hsieh, Y. L., Chen, C. C., & Hsu, W. L. (2014). Semantic frame-based natural language understanding for intelligent topic detection agent. In Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings (Vol. 8481, pp. 339-348). Springer Verlag.

Semantic frame-based natural language understanding for intelligent topic detection agent. / Chang, Yung Chun; Hsieh, Yu Lun; Chen, Cen Chieh; Hsu, Wen Lian.

Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. Vol. 8481 Springer Verlag, 2014. p. 339-348.

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

Chang, YC, Hsieh, YL, Chen, CC & Hsu, WL 2014, Semantic frame-based natural language understanding for intelligent topic detection agent. in Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. vol. 8481, Springer Verlag, pp. 339-348, 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, 6/3/14.
Chang YC, Hsieh YL, Chen CC, Hsu WL. Semantic frame-based natural language understanding for intelligent topic detection agent. In Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. Vol. 8481. Springer Verlag. 2014. p. 339-348
Chang, Yung Chun ; Hsieh, Yu Lun ; Chen, Cen Chieh ; Hsu, Wen Lian. / Semantic frame-based natural language understanding for intelligent topic detection agent. Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. Vol. 8481 Springer Verlag, 2014. pp. 339-348
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