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» Forest-guided Supertagger Training
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COLING
2010
14 years 9 months ago
Forest-guided Supertagger Training
Supertagging is an important technique for deep syntactic analysis. A supertagger is usually trained independently of the parser using a sequence labeling method. This presents an...
Yao-zhong Zhang, Takuya Matsuzaki, Jun-ichi Tsujii
102
Voted
ACL
2010
15 years 11 days ago
Faster Parsing by Supertagger Adaptation
We propose a novel self-training method for a parser which uses a lexicalised grammar and supertagger, focusing on increasing the speed of the parser rather than its accuracy. The...
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawbo...
ACL
2010
15 years 11 days ago
Minimized Models and Grammar-Informed Initialization for Supertagging with Highly Ambiguous Lexicons
We combine two complementary ideas for learning supertaggers from highly ambiguous lexicons: grammar-informed tag transitions and models minimized via integer programming. Each st...
Sujith Ravi, Jason Baldridge, Kevin Knight
118
Voted
EMNLP
2004
15 years 3 months ago
Object-Extraction and Question-Parsing using CCG
Accurate dependency recovery has recently been reported for a number of wide-coverage statistical parsers using Combinatory Categorial Grammar (CCG). However, overall figures give...
Stephen Clark, Mark Steedman, James R. Curran