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» XAR: An Integrated Framework for Information Extraction
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WWW
2011
ACM
14 years 6 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»
15 years 6 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»
14 years 11 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»
15 years 5 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»
15 years 19 days 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...