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AAI
2008
93views more  AAI 2008»
15 years 5 months ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
INTERSPEECH
2010
14 years 11 months ago
Using dependency parsing and machine learning for factoid question answering on spoken documents
This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
Pere Comas, Jordi Turmo, Lluís Màrqu...
157
Voted
EMNLP
2007
15 years 6 months ago
What Can Syntax-Based MT Learn from Phrase-Based MT?
We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly descr...
Steve DeNeefe, Kevin Knight, Wei Wang 0006, Daniel...
ECML
2004
Springer
15 years 10 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst
ACL
2010
15 years 2 months ago
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Srinivasan Janarthanam, Oliver Lemon