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» Learning Derived Words from Medical Corpora
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ICDE
2005
IEEE
126views Database» more  ICDE 2005»
14 years 1 months ago
ProtChew: Automatic Extraction of Protein Names from Biomedical Literature
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical inform...
Amund Tveit, Rune Sætre, Astrid Lægrei...
KCAP
2011
ACM
12 years 10 months ago
Language resources extracted from Wikipedia
Wikipedia provides an interesting amount of text for more than hundred languages. This also includes languages where no reference corpora or other linguistic resources are easily ...
Denny Vrandecic, Philipp Sorg, Rudi Studer
NIPS
2008
13 years 9 months ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar
LREC
2008
146views Education» more  LREC 2008»
13 years 9 months ago
ProPOSEL: A Prosody and POS English Lexicon for Language Engineering
ProPOSEL is a prototype prosody and PoS (part-of-speech) English lexicon for Language Engineering, derived from the following language resources: the computer-usable dictionary CU...
Claire Brierley, Eric Atwell
ANLP
1992
89views more  ANLP 1992»
13 years 9 months ago
Computational Lexicons: the Neat Examples and the Odd Exemplars
When implementing computational lexicons it is important to keep in mind the texts that a NLP system must deal with. Words relate to each other in many different, often queer, way...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...