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LREC
2008
84views Education» more  LREC 2008»
13 years 9 months ago
Named Entity Recognition for Digitised Historical Texts
We describe and evaluate a prototype system for recognising person and place names in digitised records of British parliamentary proceedings from the late 17th and early 19th cent...
Claire Grover, Sharon Givon, Richard Tobin, Julian...
EMNLP
2006
13 years 9 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
IJDAR
2000
60views more  IJDAR 2000»
13 years 7 months ago
Integrated text and line-art extraction from a topographic map
Our proposed approach to text and line-art extraction requires accurately locating a text-string box and identifying external line vectors incident on the box. The results of extra...
Luyang Li, George Nagy, Ashok Samal, Sharad C. Set...
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 8 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
BMCBI
2010
113views more  BMCBI 2010»
13 years 8 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...