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» Using Information Extraction to Improve Document Retrieval
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CIKM
2010
Springer
15 years 3 months ago
Term necessity prediction
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
Le Zhao, Jamie Callan
242
Voted
SIGMOD
2009
ACM
144views Database» more  SIGMOD 2009»
16 years 4 months ago
Do we mean the same?: disambiguation of extracted keyword queries for database search
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an...
Elena Demidova, Irina Oelze, Peter Fankhauser
152
Voted
TREC
2007
15 years 5 months ago
Question Answering with LCC's CHAUCER-2 at TREC 2007
In TREC 2007, Language Computer Corporation explored how a new, semantically-rich framework for information retrieval could be used to boost the overall performance of the answer ...
Andrew Hickl, Kirk Roberts, Bryan Rink, Jeremy Ben...
CIARP
2007
Springer
15 years 8 months ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
218
Voted
SIGMOD
2008
ACM
123views Database» more  SIGMOD 2008»
16 years 4 months ago
Query-based partitioning of documents and indexes for information lifecycle management
Regulations require businesses to archive many electronic documents for extended periods of time. Given the sheer volume of documents and the response time requirements, documents...
Soumyadeb Mitra, Marianne Winslett, Windsor W. Hsu