MDL-based DCG Induction for NP Identification

MDL-based DCG Induction for NP Identification (1999)

by Miles Osborne

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Datum	Value	Source
TITLE	MDL-based DCG Induction for NP Identification	SVM HeaderParse 0.1
AUTHOR NAME	Miles Osborne	user correction - Legacy Corrections
ABSTRACT	We introduce a learner capable of automatically extend- ing large, manually written natural language Definite Clause Grammars with missing syntactic rules. It is based upon the Minimum Description Length principle, and can be trained upon either just raw text, or else raw text additionally annotated with parsed corpora. As a demonstration of the learner, we show how full Noun Phrases (NPs that might contain pre or post- modifying phrases and might also be recursively nested) ca be identified in raw text. Preliminary results obtained by varying the amount of syntactic information in the training set suggests that raw text is less useful than additional NP bracketing information. However, using all syntactic information in the training set does not produce a significant improvement over just brack- eting information.	user correction - Legacy Corrections
YEAR	1999	user correction - Legacy Corrections
CITATIONS	27 found	ParsCit 1.0