ERIC Number: ED459824
Record Type: RIE
Publication Date: 2001-Jun
Human Evaluation of Kea, an Automatic Keyphrasing System.
Jones, Steve; Paynter, Gordon W.
This paper describes an evaluation of the Kea automatic keyphrase extraction algorithm. Tools that automatically identify keyphrases are desirable because document keyphrases have numerous applications in digital library systems, but are costly and time consuming to manually assign. Keyphrase extraction algorithms are usually evaluated by comparison to author-specified keywords, but this methodology has several well-known shortcomings. The results presented in this paper are based on subjective evaluations of the quality and appropriateness of keyphrases by human assessors, and make a number of contributions. First, they validate previous evaluations of Kea that rely on author keywords. Second, they show Kea's performance is comparable to that of similar systems that have been evaluated by human assessors. Finally, they justify the use of author keyphrases as a performance metric by showing that authors generally choose good keywords. (Contains 28 references.) (Author)
Descriptors: Computer Interfaces, Data Processing, Electronic Libraries, Information Retrieval, Information Systems, Keywords, Man Machine Systems, User Satisfaction (Information), Users (Information)
Association for Computing Machinery, 1515 Broadway, New York NY 10036. Tel: 800-342-6626 (Toll Free); Tel: 212-626-0500; e-mail: firstname.lastname@example.org. For full text: http://www1.acm.org/pubs/contents/proceedings/dl/379437/.
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Note: In: Proceedings of the ACM/IEEE-CS Joint Conference on Digital Libraries (1st, Roanoke, Virginia, June 24-28, 2001). For entire proceedings, see IR 058 348. Figures may not reproduce well.