Paper Info
Title
Using decision trees to select the grammatical relation of a noun phrase
Abstract
We present a machine-learning approach to modeling the distribution of noun phrases (NPs) within clauses with respect to a fine-grained taxonomy of grammatical relations. We demonstrate that a cluster of superficial linguistic features can function as a proxy for more abstract discourse features that are not observable using state-of-the-art natural language processing. The models constructed for actual texts can be used to select among alternative linguistic expressions of the same propositional content when generating discourse.
Year
DOI
Venue
2000
10.3115/1117736.1117744
SIGDIAL Workshop
Keywords
Field
DocType
alternative linguistic expression,propositional content,machine-learning approach,grammatical relation,superficial linguistic feature,decision tree,fine-grained taxonomy,state-of-the-art natural language processing,noun phrase,actual text,abstract discourse feature
Noun phrase,Grammatical category,Decision tree,Grammatical relation,Expression (mathematics),Computer science,Natural language processing,Artificial intelligence,Linguistics
Conference
Citations 
PageRank 
References 
1
0.45
2
Authors
1
Name
Order
Citations
PageRank
Simon Corston-Oliver134925.25