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TREC
2004
13 years 11 months ago
Feature Generation, Feature Selection, Classifiers, and Conceptual Drift for Biomedical Document Triage
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
Aaron M. Cohen, Ravi Teja Bhupatiraju, William R. ...
NDQA
2003
131views Education» more  NDQA 2003»
13 years 11 months ago
Panel on Web-Based Question Answering
Early TREC-style Question Answering Systems were characterized by the following features: (a) the answer of the question was known to be included in a given local corpus, (b) the ...
Dragomir R. Radev
NIPS
2003
13 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
AAAI
2000
13 years 11 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
ACL
1998
13 years 11 months ago
A Generative Lexicon Perspective for Adjectival Modification
This paper presents a semantic interpretation of adjectival modification in terms of the Generative Lexicon. It highlights the elements which can be borrowed from the GL and devel...
Patrick Saint-Dizier
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