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» Using Random Forests in the Structured Language Model
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EMNLP
2010
14 years 7 months ago
Incorporating Content Structure into Text Analysis Applications
In this paper, we investigate how modeling content structure can benefit text analysis applications such as extractive summarization and sentiment analysis. This follows the lingu...
Christina Sauper, Aria Haghighi, Regina Barzilay
VL
1997
IEEE
165views Visual Languages» more  VL 1997»
15 years 2 months ago
Alterable Visual Languages
The large number of programming languages in the world is a consequence of the broad spectrum of human preferences for different notational styles and semantic models, which depen...
Chris M. Holt
JMLR
2012
13 years 7 days ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
HRI
2010
ACM
15 years 4 months ago
Toward understanding natural language directions
—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging be...
Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas ...
CEC
2005
IEEE
15 years 3 months ago
Music evolution in a complex system of interacting agents
The evolution of music, from random note strings to certain “pleasant” note sequences, is traced in a multi-agent computational model. A community of agents, with some musical ...
Tao Gong, Qian Zhang, Hua Wu