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» The Use of Classifiers in Sequential Inference
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ICML
2003
IEEE
14 years 8 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
WS
2008
ACM
13 years 7 months ago
Translating the Foundational Model of Anatomy into OWL
The Foundational Model of Anatomy (FMA) [7] represents the result of manual and disciplined modeling of the structural organization of the human body. Many workers in medical info...
Natalya Fridman Noy, Daniel L. Rubin
EMNLP
2010
13 years 5 months ago
Constraints Based Taxonomic Relation Classification
Determining whether two terms in text have an ancestor relation (e.g. Toyota and car) or a sibling relation (e.g. Toyota and Honda) is an essential component of textual inference ...
Quang Do, Dan Roth
ICML
2005
IEEE
14 years 8 months ago
Learning strategies for story comprehension: a reinforcement learning approach
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...
Eugene Grois, David C. Wilkins
INTERSPEECH
2010
13 years 2 months ago
Still talking to machines (cognitively speaking)
This overview article reviews the structure of a fully statistical spoken dialogue system (SDS), using as illustration, various systems and components built at Cambridge over the ...
Steve Young