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» Named Entity Recognition in Tweets: An Experimental Study
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BMCBI
2006
127views more  BMCBI 2006»
14 years 11 months ago
A graph-search framework for associating gene identifiers with documents
Background: One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article. We consider a relaxation ...
William W. Cohen, Einat Minkov
85
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WEBDB
2010
Springer
152views Database» more  WEBDB 2010»
15 years 4 months ago
Popularity-Guided Top-k Extraction of Entity Attributes
Recent progress in information extraction technology has enabled a vast array of applications that rely on structured data that is embedded in natural-language text. In particular...
Matthew Solomon, Cong Yu, Luis Gravano
BMCBI
2008
173views more  BMCBI 2008»
14 years 11 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...
124
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SIGIR
2012
ACM
13 years 2 months ago
Cognos: crowdsourcing search for topic experts in microblogs
Finding topic experts on microblogging sites with millions of users, such as Twitter, is a hard and challenging problem. In this paper, we propose and investigate a new methodolog...
Saptarshi Ghosh, Naveen Kumar Sharma, Fabrí...
IIR
2010
15 years 1 months ago
Sentence-Based Active Learning Strategies for Information Extraction
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebasti...