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» Extracting Named Entities and Synonyms from Wikipedia
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CORR
2006
Springer
225views Education» more  CORR 2006»
13 years 7 months ago
Building and displaying name relations using automatic unsupervised analysis of newspaper articles
We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity...
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, ...
I3
2007
13 years 9 months ago
Identity: How to name it, How to find it
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...
Christo Dichev, Darina Dicheva, Jan Fischer
WEBI
2007
Springer
14 years 1 months ago
Fact Discovery in Wikipedia
We address the task of extracting focused salient information items, relevant and important for a given topic, from a large encyclopedic resource. Specifically, for a given topic...
Sisay Fissaha Adafre, Valentin Jijkoun, Maarten de...
EMNLP
2008
13 years 9 months ago
Who is Who and What is What: Experiments in Cross-Document Co-Reference
This paper describes a language-independent, scalable system for both challenges of crossdocument co-reference: name variation and entity disambiguation. We provide system results...
Alex Baron, Marjorie Freedman
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...