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» Tools for Extracting and Structuring Knowledge from Texts
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JAIR
2008
173views more  JAIR 2008»
15 years 3 months ago
Creating Relational Data from Unstructured and Ungrammatical Data Sources
In order for agents to act on behalf of users, they will have to retrieve and integrate vast amounts of textual data on the World Wide Web. However, much of the useful data on the...
Matthew Michelson, Craig A. Knoblock
168
Voted
FCSC
2010
238views more  FCSC 2010»
15 years 24 days ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
138
Voted
CIKM
2008
Springer
15 years 5 months ago
The role of syntactic features in protein interaction extraction
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
16 years 3 months ago
Enabling enterprise mashups over unstructured text feeds with InfoSphere MashupHub and SystemT
Enterprise mashup scenarios often involve feeds derived from data created primarily for eye consumption, such as email, news, calendars, blogs, and web feeds. These data sources c...
David E. Simmen, Frederick Reiss, Yunyao Li, Sures...
120
Voted
ACL
2006
15 years 4 months ago
On-Demand Information Extraction
At present, adapting an Information Extraction system to new topics is an expensive and slow process, requiring some knowledge engineering for each new topic. We propose a new par...
Satoshi Sekine