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» Comparing the Accuracy of CCG and Penn Treebank Parsers
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EMNLP
2008
13 years 7 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
2008
13 years 7 months ago
A Tale of Two Parsers: Investigating and Combining Graph-based and Transition-based Dependency Parsing
Graph-based and transition-based approaches to dependency parsing adopt very different views of the problem, each view having its own strengths and limitations. We study both appr...
Yue Zhang 0004, Stephen Clark
ACL
2006
13 years 7 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
NAACL
2010
13 years 4 months ago
Is Arabic Part of Speech Tagging Feasible Without Word Segmentation?
In this paper, we compare two novel methods for part of speech tagging of Arabic without the use of gold standard word segmentation but with the full POS tagset of the Penn Arabic...
Emad Mohamed, Sandra Kübler
AAAI
2007
13 years 8 months ago
Learning and Inference for Hierarchically Split PCFGs
Treebank parsing can be seen as the search for an optimally refined grammar consistent with a coarse training treebank. We describe a method in which a minimal grammar is hierarc...
Slav Petrov, Dan Klein