New Methods in Automatic Extracting

• H. P. Edmundson

  University of Maryland, Computer Science Center, College Park, Maryland

抄録

This paper describes new methods of automatically extracting documents for screening purposes, i.e. the computer selection of sentences having the greatest potential for conveying to the reader the substance of the document. While previous work has focused on one component of sentence significance, namely, the presence of high-frequency content words (key words), the methods described here also treat three additional components: pragmatic words (cue words); title and heading words; and structural indicators (sentence location). The research has resulted in an operating system and a research methodology. The extracting system is parameterized to control and vary the influence of the above four components. The research methodology includes procedures for the compilation of the required dictionaries, the setting of the control parameters, and the comparative evaluation of the automatic extracts with manually produced extracts. The results indicate that the three newly proposed components dominate the frequency component in the production of better extracts.

収録刊行物

• Journal of the ACM

  Journal of the ACM 16 (2), 264-285, 1969-04

  Association for Computing Machinery (ACM)

キーワード

• Artificial Intelligence
• Hardware and Architecture
• Information Systems
• Control and Systems Engineering
• Software

詳細情報

• CRID: 1361981469951374208
• NII論文ID: 30021964862
• DOI: 10.1145/321510.321519
• ISSN: 1557735X
• ISSN: 00045411
• ISSN: http://id.crossref.org/issn/00045411
• Web Site: https://dl.acm.org/doi/pdf/10.1145/321510.321519
• データソース種別:
  • Crossref
  • CiNii Articles