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LREC
2010
149views Education» more  LREC 2010»
15 years 1 months ago
Paragraph Acquisition and Selection for List Question Using Amazon's Mechanical Turk
Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...
Fang Xu, Dietrich Klakow
ICCS
2005
Springer
15 years 5 months ago
On the Need to Bootstrap Ontology Learning with Extraction Grammar Learning
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
Georgios Paliouras
ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
15 years 3 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
EMNLP
2008
15 years 1 months ago
A Graph-theoretic Model of Lexical Syntactic Acquisition
This paper presents a graph-theoretic model of the acquisition of lexical syntactic representations. The representations the model learns are non-categorical or graded. We propose...
Hinrich Schütze, Michael Walsh
ACL
1998
15 years 1 months ago
Growing Semantic Grammars
A critical path in the development of natural language understanding NLU modules lies in the di culty of de ning a mapping from words to semantics: Usually it takes in the order o...
Marsal Gavaldà, Alex Waibel