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» Learning Derived Words from Medical Corpora
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AIME
1997
Springer
13 years 12 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
LREC
2008
99views Education» more  LREC 2008»
13 years 9 months ago
Characterization of Scientific and Popular Science Discourse in French, Japanese and Russian
We aim to characterize the comparability of corpora, we address this issue in the trilingual context through the distinction of expert and non expert documents. We work separately...
Lorraine Goeuriot, Natalia Grabar, Béatrice...
IJDAR
2010
110views more  IJDAR 2010»
13 years 6 months ago
Locating and parsing bibliographic references in HTML medical articles
The set of references that typically appear toward the end of journal articles is sometimes, though not always, a field in bibliographic (citation) databases. But even if referenc...
Jie Zou, Daniel X. Le, George R. Thoma
NAACL
2004
13 years 9 months ago
Name Tagging with Word Clusters and Discriminative Training
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Scott Miller, Jethran Guinness, Alex Zamanian
CORR
2000
Springer
104views Education» more  CORR 2000»
13 years 7 months ago
ATLAS: A flexible and extensible architecture for linguistic annotation
We describe a formal model for annotating linguistic artifacts, from which we derive an application programming interface (API) to a tools for manipulating these annotations. The ...
Steven Bird, David Day, John S. Garofolo, John Hen...