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» XAR: An Integrated Framework for Information Extraction
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WWW
2011
ACM
13 years 2 months ago
Generalized fact-finding
Once information retrieval has located a document, and information extraction has provided its contents, how do we know whether we should actually believe it? Fact-finders are a ...
Jeff Pasternack, Dan Roth
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
14 years 2 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
DKE
2006
138views more  DKE 2006»
13 years 7 months ago
Using the uni-level description (ULD) to support data-model interoperability
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
Shawn Bowers, Lois M. L. Delcambre
DNIS
2007
Springer
117views Database» more  DNIS 2007»
14 years 1 months ago
Semantic Tracking in Peer-to-Peer Topic Maps Management
This paper presents a collaborative semantic tracking framework based on topic maps which aims to integrate and organize the data/information resources that spread throughout the I...
Asanee Kawtrakul, Chaiyakorn Yingsaeree, Fré...
LREC
2010
237views Education» more  LREC 2010»
13 years 8 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Silvana Marianela Bernaola Biggio, Manuela Speranz...