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ICML
2000
IEEE
16 years 2 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
116
Voted
ICTAI
2007
IEEE
15 years 8 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
119
Voted
ICCV
2011
IEEE
14 years 1 months ago
What Characterizes a Shadow Boundary under the Sun and Sky?
Despite decades of study, robust shadow detection remains difficult, especially within a single color image. We describe a new approach to detect shadow boundaries in images of o...
Xiang Huang, Gang Hua, Jack Tumblin, Lance William...
COLING
2008
15 years 3 months ago
Choosing the Right Translation: A Syntactically Informed Classification Approach
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Simon Zwarts, Mark Dras
SEMCO
2009
IEEE
15 years 8 months ago
LexPar: A Freely Available English Paraphrase Lexicon Automatically Extracted from FrameNet
—This is a paper about a new resource, namely an English paraphrase dictionary extracted from the FrameNet lexicon and its example data base. I. THE LEXPAR PARAPHRASE DICTIONARY ...
Bob Coyne, Owen Rambow