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» A Trainable Document Summarizer
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ICDAR
2003
IEEE
14 years 25 days ago
Identifying Story and Preview Images in News Web Pages
The World Wide Web provides an increasingly powerful and popular publication mechanism. Web documents often contain a large number of images serving various different purposes. Th...
Jianying Hu, Amit Bagga
DL
1999
Springer
187views Digital Library» more  DL 1999»
13 years 11 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...
AI
2000
Springer
13 years 7 months ago
Learning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
ISEUD
2009
Springer
14 years 2 months ago
Improving Documentation for eSOA APIs through User Studies
All software today is written using libraries, toolkits, frameworks and other application programming interfaces (APIs). We performed a user study of the online documentation a lar...
Sae Young Jeong, Yingyu Xie, Jack Beaton, Brad A. ...
WWW
2008
ACM
14 years 8 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates