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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2003
ACM
14 years 19 days ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
WWW
2005
ACM
14 years 8 months ago
Extracting context to improve accuracy for HTML content extraction
Web pages contain clutter (such as ads, unnecessary images and extraneous links) around the body of an article, which distracts a user from actual content. Extraction of "use...
Suhit Gupta, Gail E. Kaiser, Salvatore J. Stolfo
LREC
2008
140views Education» more  LREC 2008»
13 years 8 months ago
Unsupervised Relation Extraction From Web Documents
The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request in the form of a topic descripti...
Kathrin Eichler, Holmer Hemsen, Günter Neuman...
PRL
2008
181views more  PRL 2008»
13 years 7 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
IR
2006
13 years 7 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum