3 search results - page 1 / 1 » KEA: Practical Automatic Keyphrase Extraction |
DL
1999
Springer
13 years 8 months ago
1999
Springer
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
IJCAI
2003
13 years 6 months ago
2003
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task of automatic ...
ICDIM
2008
IEEE
13 years 11 months ago
2008
IEEE
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...