Title
Using Information Extraction to Improve Document Retrieval
Abstract
We describe an approach to applying a particular kind of Natural LanguageProcessing (NLP) system to the TREC routing task in Information Retrieval(IR). Rather than attempting to use NLP techniques in indexing documents in acorpus, we adapted an information extraction (IE) system to act as a post-filteron the output of an IR system. The IE system was configured to score each ofthe top 2000 documents as determined by an IR system and on the basis of thatscore to rerank those 2000 documents. ...
Year
Venue
Keywords
1997
Text REtrieval Conference
information retrieval,extraction,document retrieval,information extraction,indexation,natural language,grammars,processing,routing,computational linguistics,precision,ranking,data bases
Field
DocType
Citations 
Rule-based machine translation,Data mining,Computer science,Search engine indexing,Natural language processing,Artificial intelligence,Document retrieval,Ranking,Information retrieval,Computational linguistics,Information extraction,Natural language,Subject indexing
Conference
17
PageRank 
References 
Authors
1.59
3
4
Name
Order
Citations
PageRank
John Bear1612197.08
David J. Israel2961291.98
jeff petit3171.59
David Martin41355165.44