Event sentence extraction in Korean newspapers

  • Authors:

  • Bo-Hyun Yun;Tae-Hyun Kim;Yi-Gyu Hwang;Pal-Jin Lee;Seung-Shik Kang

  • Affiliations:

  • Human Information Processing Dept., ETRI, Daejeon, Korea;Human Information Processing Dept., ETRI, Daejeon, Korea;Human Information Processing Dept., ETRI, Daejeon, Korea;Computer Science Dept., Chodang University, Chonnam, Korea;School of Computer Science, Kookmin University, Seoul, Korea

  • Venue:
  • CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
  • Year:
  • 2003

  • A trainable document summarizer

    SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval

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Abstract

Information extraction is to extract information about the main events in the text. This paper presents an event sentence extraction method in Korean newspapers for information extraction. Event sentences contain meaningful information such as the agent, the time and the place of an event. To extract these sentences, we acquire various features such as verbs, nouns, noun phrases, 3Ws, and their weights. And then, the system computes weights of sentences and extracts event sentences by our extraction algorithm. The experimental result shows the average precision of 86.1%.