This paper shows results from an investigation whether a classifier can be taught to identify these constructions and consideration of the hypothesis that identifying construction types can improve the semantic interpretation of previously unseen predicate uses.
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This paper shows results from an investigation whether a classifier can be taught to identify these constructions and consideration of the hypothesis that identifying construction types can improve the semantic interpretation of previously unseen predicate uses.
Physical Description
8 p.
Notes
Abstract: In Construction Grammar, structurally patterned units called constructions are assigned meaning in the same way that words are – via convention rather than composition. That is, rather than piecing semantics together from individual lexical items, Construction Grammar proposes that semantics can be assigned at the construction level. In this paper, we investigate whether a classifier can be taught to identify these constructions and consider the hypothesis that identifying construction types can improve the semantic interpretation of previously unseen predicate uses. Our results show that not only can the constructions be automatically identified with high accuracy, but the classifier also performs just as well with out-of-vocabulary predicates.
Publication Title:
Proceedings of the NAACL HLT Workshop on Extracting and Using Constructions in Computational Linguistics
Pages:
8
Peer Reviewed:
Yes
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Hwang, Jena D.; Nielsen, Rodney D. & Palmer, Martha.Towards a Domain Independent Semantics: Enhancing Semantic Representation with Construction Grammar,
paper,
June 2010;
Stroudsburg, Pennsylvania.
(https://digital.library.unt.edu/ark:/67531/metadc1042592/:
accessed March 19, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.