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» Using Random Forests in the Structured Language Model
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COGSCI
2004
105views more  COGSCI 2004»
13 years 8 months ago
Intention, interpretation and the computational structure of language
I show how a conversational process that takes simple, intuitively meaningful steps may be understood as a sophisticated computation that derives the richly detailed, complex repr...
Matthew Stone
EACL
2003
ACL Anthology
13 years 10 months ago
Information Structure in Topological Dependency Grammar
Topological Dependency Grammar (TDG) is a lexicalized dependency grammar formalism, able to model languages with a relatively free word order. In such languages, word order variat...
Geert-Jan M. Kruijff, Denys Duchier
ICML
2009
IEEE
14 years 9 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
ISOLA
2010
Springer
13 years 6 months ago
HATS: Highly Adaptable and Trustworthy Software Using Formal Methods
The HATS project develops a formal method for the design, analysis, and implementation of highly adaptable software systems that are at the same time characterized by a high demand...
Reiner Hähnle
TASLP
2008
115views more  TASLP 2008»
13 years 8 months ago
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
Alfred Dielmann, Steve Renals