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» Shift-Reduce CCG Parsing
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COLING
2008
13 years 6 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
EMNLP
2009
13 years 3 months ago
A Syntactified Direct Translation Model with Linear-time Decoding
Recent syntactic extensions of statistical translation models work with a synchronous context-free or tree-substitution grammar extracted from an automatically parsed parallel cor...
Hany Hassan, Khalil Sima'an, Andy Way
EMNLP
2007
13 years 6 months ago
Multilingual Dependency Parsing and Domain Adaptation using DeSR
We describe our experiments using the DeSR parser in the multilingual and domain adaptation tracks of the CoNLL 2007 shared task. DeSR implements an incremental deterministic Shif...
Giuseppe Attardi, Felice dell'Orletta, Maria Simi,...
EMNLP
2008
13 years 6 months ago
Adapting a Lexicalized-Grammar Parser to Contrasting Domains
Most state-of-the-art wide-coverage parsers are trained on newspaper text and suffer a loss of accuracy in other domains, making parser adaptation a pressing issue. In this paper ...
Laura Rimell, Stephen Clark
EMNLP
2011
12 years 5 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez