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BMCBI
2006
151views more  BMCBI 2006»
13 years 6 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
ACL
2008
13 years 7 months ago
Improving Parsing and PP Attachment Performance with Sense Information
To date, parsers have made limited use of semantic information, but there is evidence to suggest that semantic features can enhance parse disambiguation. This paper shows that sem...
Eneko Agirre, Timothy Baldwin, David Martín...
JCDL
2011
ACM
226views Education» more  JCDL 2011»
12 years 9 months ago
Measuring historical word sense variation
We describe here a method for automatically identifying word sense variation in a dated collection of historical books in a large digital library. By leveraging a small set of kno...
David Bamman, Gregory Crane
COLING
2010
13 years 1 months ago
Bringing Active Learning to Life
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Ines Rehbein, Josef Ruppenhofer, Alexis Palmer
EMNLP
2008
13 years 7 months ago
Question Classification using Head Words and their Hypernyms
Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In contrast to Li and Roth (2002)'s app...
Zhiheng Huang, Marcus Thint, Zengchang Qin