| registrieren | anmelden | FAQ | [?] |
Learning to extract keyphrases from textby: P Turney
(1999)
|
Reviews
[Write a review of this article]
There are no reviews of this article
Notes for this articleDeals with keyphrase extraction, *NOT* term recognition. Evaluation reports state-of-the-art figures of P around 30% among top 6 keyphrases. But diminishes quickly as # of keyphrases increase.
Mentioned a number of useful corpus.
Find related articles from these CiteULike users
Find related articles with these CiteULike tags
AbstractMany academic journals ask their authors to provide a list of about five to fifteen key words, to appear on the first page of each article. Since these key words are often phrases of two or more words, we prefer to call them keyphrases. There is a surprisingly wide variety of tasks for which keyphrases are useful, as we discuss in this paper. Recent commercial software, such as Microsoft's Word 97 and Verity's Search 97, includes algorithms that automatically extract keyphrases from ...
BibTeX record
RIS record