Sciweavers

784 search results - page 1 / 157
» Learning Algorithms for Keyphrase Extraction
Sort
View
AINA
2007
IEEE
13 years 11 months ago
Extracting Significant Phrases from Text
Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
Yuan J. Lui, Richard Brent, Ani Calinescu
DL
1999
Springer
187views Digital Library» more  DL 1999»
13 years 8 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...
CORR
2002
Springer
142views Education» more  CORR 2002»
13 years 4 months ago
Learning Algorithms for Keyphrase Extraction
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases ...
Peter D. Turney
MLDM
2005
Springer
13 years 10 months ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...
IJCAI
2003
13 years 5 months ago
Coherent Keyphrase Extraction via Web Mining
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task of automatic ...
Peter D. Turney