Sciweavers

28 search results - page 1 / 6
» Clustering to Find Exemplar Terms for Keyphrase Extraction
Sort
View
EMNLP
2009
13 years 2 months ago
Clustering to Find Exemplar Terms for Keyphrase Extraction
Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed...
Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun
DL
1999
Springer
187views Digital Library» more  DL 1999»
13 years 9 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...
COLING
2008
13 years 6 months ago
CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction
Previous methods usually conduct the keyphrase extraction task for single documents separately without interactions for each document, under the assumption that the documents are ...
Xiaojun Wan, Jianguo Xiao
WEBI
2009
Springer
13 years 11 months ago
Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering
We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed “full-subtopic retrieval”. To solve this problem we pres...
Andrea Bernardini, Claudio Carpineto, Massimiliano...
ECWEB
2005
Springer
127views ECommerce» more  ECWEB 2005»
13 years 10 months ago
Knowledge Discovery in Web-Directories: Finding Term-Relations to Build a Business Ontology
The Web continues to grow at a tremendous rate. Search engines find it increasingly difficult to provide useful results. To manage this explosively large number of Web documents,...
Sandip Debnath, Tracy Mullen, Arun Upneja, C. Lee ...