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AAAI
2007
13 years 10 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
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
14 years 7 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
BMCBI
2005
189views more  BMCBI 2005»
13 years 7 months ago
A sentence sliding window approach to extract protein annotations from biomedical articles
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...
Martin Krallinger, Maria Padron, Alfonso Valencia
EKAW
2008
Springer
13 years 9 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
LREC
2008
131views Education» more  LREC 2008»
13 years 9 months ago
System Evaluation on a Named Entity Corpus from Clinical Notes
This paper presents the evaluation of the dictionary look-up component of Mayo Clinic's Information Extraction system. The component was tested on a corpus of 160 free-text c...
Karin Schuler, Vinod Kaggal, James J. Masanz, Phil...