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» Learning to Merge Word Senses
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EMNLP
2008
13 years 9 months ago
Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
Human linguistic annotation is crucial for many natural language processing tasks but can be expensive and time-consuming. We explore the use of Amazon's Mechanical Turk syst...
Rion Snow, Brendan O'Connor, Daniel Jurafsky, Andr...
CIKM
2011
Springer
12 years 7 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore
FOIS
2006
13 years 9 months ago
A Dynamic Theory of Ontology
Natural languages are easy to learn by infants, they can express any thought that any adult might ever conceive, and they accommodate the limitations of human breathing rates and s...
John F. Sowa
MHCI
2005
Springer
14 years 1 months ago
Telelogs: a social communication space for urban environments
This paper presents a novel idea for a system known as Telelogs. Utilizing the ubiquity of mobile devices, Telelogs functions as a service by which individuals in an urban environ...
Brian Davis, Karrie Karahalios
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 8 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee