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» Information Extraction and Semantic Constraints
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COLING
2002
13 years 9 months ago
Location Normalization for Information Extraction
Ambiguity is very high for location names. For example, there are 23 cities named `Buffalo' in the U.S. Country names such as `Canada', `Brazil' and `China' ar...
Huifeng Li, Rohini K. Srihari, Cheng Niu, Wei Li 0...
SEMCO
2008
IEEE
14 years 4 months ago
Extracting and Exploring the Geo-Temporal Semantics of Textual Resources
Geo-temporal criteria are important for filtering, grouping and prioritizing information resources. This presents techniques for extracting semantic geo-temporal information from ...
Bruno Martins, Hugo Manguinhas, José Luis B...
CIKM
2008
Springer
13 years 11 months ago
Using tag semantic network for keyphrase extraction in blogs
Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a super...
Lizhen Qu, Christof Müller, Iryna Gurevych
EDBT
2008
ACM
146views Database» more  EDBT 2008»
13 years 11 months ago
SPARQLing constraints for RDF
The goal of the Semantic Web is to support semantic interoperability between applications exchanging data on the web. The idea heavily relies on data being made available in machi...
Georg Lausen, Michael Meier 0002, Michael Schmidt
AAAI
2008
13 years 12 months ago
Automatic Semantic Relation Extraction with Multiple Boundary Generation
This paper addresses the task of automatic classification of semantic relations between nouns. We present an improved WordNet-based learning model which relies on the semantic inf...
Brandon Beamer, Alla Rozovskaya, Roxana Girju