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» Using Random Forests in the Structured Language Model
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COGSCI
2004
105views more  COGSCI 2004»
14 years 11 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
15 years 1 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
16 years 19 days 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
14 years 9 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»
14 years 11 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