Title
From chunks to function-argument structure: a similarity-based approach
Abstract
Chunk parsing has focused on the recognition of partial constituent structures at the level of individual chunks. Little attention has been paid to the question of how such partial analyses can be combined into larger structures for complete utterances. Such larger structures are not only desirable for a deeper syntactic analysis. They also constitute a necessary prerequisite for assigning function-argument structure.The present paper offers a similarity-based algorithm for assigning functional labels such as subject, object, head, complement, etc. to complete syntactic structures on the basis of prechunked input.The evaluation of the algorithm has concentrated on measuring the quality of functional labels. It was performed on a German and an English treebank using two different annotation schemes at the level of function-argument structure. The results of 89.73 % correct functional labels for German and 90.40 % for English validate the general approach.
Year
DOI
Venue
2001
10.3115/1073012.1073057
ACL
Keywords
Field
DocType
english treebank,function-argument structure,functional label,similarity-based approach,correct functional label,partial constituent structure,larger structure,partial analysis,english validate,similarity-based algorithm,complete utterance,syntactic analysis
Annotation,Computer science,Treebank,Artificial intelligence,Natural language processing,Parsing,Argument of a function,Syntax,German
Conference
Volume
Citations 
PageRank 
P01-1
7
0.71
References 
Authors
11
2
Name
Order
Citations
PageRank
Sandra Kübler15613.29
Erhard W. Hinrichs220445.42