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98
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ICCS
2004
Springer
15 years 6 months ago
Chunking-Coordinated-Synthetic Approaches to Large-Scale Kernel Machines
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...
Francisco J. González-Castaño, Rober...
NLPRS
2001
Springer
15 years 5 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
111
Voted
SC
2000
ACM
15 years 5 months ago
Extending OpenMP for NUMA Machines
This paper describes extensions to OpenMP that implement data placement features needed for NUMA architectures. OpenMP is a collection of compiler directives and library routines ...
John Bircsak, Peter Craig, RaeLyn Crowell, Zarka C...
96
Voted
LREC
2010
224views Education» more  LREC 2010»
15 years 2 months ago
Construction of Chunk-Aligned Bilingual Lecture Corpus for Simultaneous Machine Translation
With the development of speech and language processing, speech translation systems have been developed. These studies target spoken dialogues, and employ consecutive interpretatio...
Masaki Murata, Tomohiro Ohno, Shigeki Matsubara, Y...
84
Voted
ACL
2006
15 years 2 months ago
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be ...
Grzegorz Chrupala, Josef van Genabith