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» Using Information Extraction to Improve Document Retrieval
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ECIR
2010
Springer
15 years 5 months ago
Using the Quantum Probability Ranking Principle to Rank Interdependent Documents
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP)...
Guido Zuccon, Leif Azzopardi
CIKM
2003
Springer
15 years 9 months ago
Extracting unstructured data from template generated web documents
We propose a novel approach that identifies web page templates and extracts the unstructured data. Extracting only the body of the page and eliminating the template increases the ...
Ling Ma, Nazli Goharian, Abdur Chowdhury, Misun Ch...
ANLP
2000
127views more  ANLP 2000»
15 years 5 months ago
Answer Extraction
Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user's query. This paper describes a system that attempts t...
Steven P. Abney, Michael Collins, Amit Singhal
WWW
2008
ACM
16 years 4 months ago
Modeling anchor text and classifying queries to enhance web document retrieval
Several types of queries are widely used on the World Wide Web and the expected retrieval method can vary depending on the query type. We propose a method for classifying queries ...
Atsushi Fujii
SIGIR
2006
ACM
15 years 10 months ago
Spoken document retrieval from call-center conversations
We are interested in retrieving information from conversational speech corpora, such as call-center data. This data comprises spontaneous speech conversations with low recording q...
Jonathan Mamou, David Carmel, Ron Hoory