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» Learning Expressive Models for Word Sense Disambiguation
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163
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RAS
2010
216views more  RAS 2010»
15 years 2 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
122
Voted
TASLP
2010
144views more  TASLP 2010»
14 years 10 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
157
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ACL
2010
15 years 1 months ago
Pseudo-Word for Phrase-Based Machine Translation
The pipeline of most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel corpus. But word appears to be too fine-grained ...
Xiangyu Duan, Min Zhang, Haizhou Li
165
Voted
NLPRS
2001
Springer
15 years 8 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,...
144
Voted
ICALP
2007
Springer
15 years 9 months ago
Regular Languages of Nested Words: Fixed Points, Automata, and Synchronization
Abstract. Nested words are a restriction of the class of visibly pushdown languages that provide a natural model of runs of programs with recursive procedure calls. The usual conne...
Marcelo Arenas, Pablo Barceló, Leonid Libki...