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» Using Random Forests in the Structured Language Model
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ACL
2011
13 years 8 days ago
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang
FSTTCS
2001
Springer
14 years 1 months ago
Computability and Complexity Results for a Spatial Assertion Language for Data Structures
Abstract. This paper studies a recently developed an approach to reasoning about mutable data structures, which uses an assertion language with spatial conjunction and implication ...
Cristiano Calcagno, Hongseok Yang, Peter W. O'Hear...
ICASSP
2011
IEEE
13 years 11 days ago
Automatic minute generation for parliamentary speech using conditional random fields
We show a novel approach of automatically generating minutes style extractive summaries for parliamentary speech. Minutes are structured summaries consisting of sequences of busin...
Justin Jian Zhang, Pascale Fung, Ricky Ho Yin Chan
WSC
2007
13 years 11 months ago
Using empirical demand data and common random numbers in an agent-based simulation of a distribution network
Agent-based simulation provides a methodology to investigate complex systems behavior, such as supply chains, while incorporating many empirical elements relative to both systems ...
William J. Sawaya
ICDAR
2009
IEEE
13 years 6 months ago
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
The paper describes a new approach using a Conditional Random Fields (CRFs) to extract physical and logical layouts in unconstrained handwritten letters such as those sent by indi...
Florent Montreuil, Emmanuele Grosicki, Laurent Heu...