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

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

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings
發行者Springer Verlag
頁面339-348
頁數10
8481
版本PART 1
ISBN(電子)9783319074542
ISBN(列印)9783319074542
DOIs
出版狀態已發佈 - 一月 1 2014
對外發佈
事件27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 - Kaohsiung, 臺灣
持續時間: 六月 3 2014六月 6 2014

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
8481 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014
國家/地區臺灣
城市Kaohsiung
期間6/3/146/6/14

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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