Paper Info
Title
Word-Based Japanese Typed Dependency Parsing With Grammatical Function Analysis
Abstract
We present a novel scheme for word-based Japanese typed dependency parser which integrates syntactic structure analysis and grammatical function analysis such as predicate-argument structure analysis. Compared to bunsetsu-based dependency parsing, which is predominantly used in Japanese NLP, it provides a natural way of extracting syntactic constituents, which is useful for downstream applications such as statistical machine translation. It also makes it possible to jointly decide dependency and predicate-argument structure, which is usually implemented as two separate steps. We convert an existing treebank to the new dependency scheme and report parsing results as a baseline for future research. We achieved a better accuracy for assigning function labels than a predicate-argument structure analyzer by using grammatical functions as dependency label.
Year
Venue
Field
2015
PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2
Structure analysis,S-attributed grammar,Computer science,Machine translation,Dependency grammar,Artificial intelligence,Treebank,Natural language processing,Parsing,Function analysis,Syntax
DocType
Volume
Citations 
Conference
P15-2
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Takaaki Tanaka111914.66
Masaaki Nagata2195.41