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» Predictive Hebbian Learning
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121
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HCW
1999
IEEE
15 years 8 months ago
Metacomputing with MILAN
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Arash Baratloo, Partha Dasgupta, Vijay Karamcheti,...
152
Voted
DL
1999
Springer
187views Digital Library» more  DL 1999»
15 years 8 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...
AAAI
2008
15 years 6 months ago
Classification by Discriminative Regularization
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
124
Voted
ITS
2010
Springer
163views Multimedia» more  ITS 2010»
15 years 5 months ago
Correcting Scientific Knowledge in a General-Purpose Ontology
General-purpose ontologies (e.g. WordNet) are convenient, but they are not always scientifically valid. We draw on techniques from semantic class learning to improve the scientific...
Michael Lipschultz, Diane J. Litman
131
Voted
EMNLP
2007
15 years 5 months ago
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
This paper presents a syntax-driven approach to question answering, specifically the answer-sentence selection problem for short-answer questions. Rather than using syntactic fea...
Mengqiu Wang, Noah A. Smith, Teruko Mitamura