Paper Info
Title
Using specificity to measure referential success in referring expressions with fuzzy properties
Abstract
In the area of linguistic descriptions of data, one of the most important problems is that of referring expression generation. A referring expression is a noun phrase intended to univocally identify a prespecified object. The referential success of a referring expression can be defined as the extent to which the set of objects (possibility distribution) satisfying the referring expression is a singleton containing the intended object. In this paper we provide a formal framework for measuring referential success of referring expressions with fuzzy features. We provide properties to be satisfied by any measure of referential success, and we make a preliminary study of the relationship between referential success and specificity, particularly by proposing a family of measures of referential success based on specificity measures.
Year
DOI
Venue
2016
10.1109/FUZZ-IEEE.2016.7737737
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Keywords
Field
DocType
linguistic descriptions,referring expression generation,noun phrase,referential success,possibility distribution,fuzzy features
Noun phrase,Referring expression generation,Pragmatics,Expression (mathematics),Computer science,Referring expression,Fuzzy logic,Fuzzy set,Natural language,Artificial intelligence,Natural language processing
Conference
ISSN
ISBN
Citations 
1544-5615
978-1-5090-0627-4
3
PageRank 
References 
Authors
0.41
22
3
Name
Order
Citations
PageRank
Nicolás Marín157041.16
Gustavo Rivas-Gervilla261.50
Daniel Sánchez312415.47