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» Named Entity Recognition in Tweets: An Experimental Study
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BMCBI
2006
127views more  BMCBI 2006»
15 years 6 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
WEBDB
2010
Springer
152views Database» more  WEBDB 2010»
15 years 11 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»
15 years 6 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...
SIGIR
2012
ACM
13 years 8 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 7 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...