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» Incremental Dependency Parsing Using Online Learning
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ACL
2008
14 years 11 months ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin
77
Voted
EMNLP
2009
14 years 7 months ago
An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
Jun Suzuki, Hideki Isozaki, Xavier Carreras, Micha...
AI
2002
Springer
14 years 9 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke
90
Voted
IJISTA
2007
101views more  IJISTA 2007»
14 years 9 months ago
Incremental online PCA for automatic motion learning of eigen behaviour
: This paper presents an online learning framework for the behavior of an articulated body by capturing its motion using real-time video. In our proposed framework, supervised lear...
Xianhua Jiang, Yuichi Motai
LRE
2008
100views more  LRE 2008»
14 years 9 months ago
LTAG-spinal and the Treebank
Abstract. We introduce LTAG-spinal, a novel variant of traditional Lexicalized Tree Adjoining Grammar (LTAG) with desirable linguistic, computational and statistical properties. Un...
Libin Shen, Lucas Champollion, Aravind K. Joshi