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» Collective annotation of Wikipedia entities in web text
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CICLING
2010
Springer
14 years 5 days ago
Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizu...
PVLDB
2010
161views more  PVLDB 2010»
13 years 3 months ago
Annotating and Searching Web Tables Using Entities, Types and Relationships
Tables are a universal idiom to present relational data. Billions of tables on Web pages express entity references, attributes and relationships. This representation of relational...
Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti
LREC
2010
237views Education» more  LREC 2010»
13 years 6 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...
AAAI
2007
13 years 7 months ago
Relation Extraction from Wikipedia Using Subtree Mining
The exponential growth and reliability of Wikipedia have made it a promising data source for intelligent systems. The first challenge of Wikipedia is to make the encyclopedia mac...
Dat P. T. Nguyen, Yutaka Matsuo, Mitsuru Ishizuka
EXPERT
2008
134views more  EXPERT 2008»
13 years 5 months ago
Learning to Tag and Tagging to Learn: A Case Study on Wikipedia
Natural language technologies have been long envisioned to play a crucial role in transitioning from the current Web to a more "semantic" Web. If anything, the significa...
Peter Mika, Massimiliano Ciaramita, Hugo Zaragoza,...