Title :
Reference Resolution Supporting Lexical Disambiguation
Author :
McShane, Marjorie ; Beale, Stephen ; Nirenburg, Sergei
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland Baltimore County, Baltimore, MD, USA
Abstract :
This paper describes ongoing work in carrying out the semantic analysis of texts and reference resolution in a control structure that permits each process to inform the other, rather than in a more traditional, unidirectional fashion (semantics followed by reference resolution). We concentrate on situations in which a polysemous predicate cannot be lexically disambiguated until the meaning of one of its arguments has been specified, and that can only be accomplished with the help of reference resolution procedures. As a sidebar, we briefly introduce our “feature value bundling” approach to configuring reference resolution engines without the need for large annotated corpora.
Keywords :
natural language processing; text analysis; corpora annotation; feature value bundling approach; lexical disambiguation; reference resolution engine; semantic analysis; Animals; Autism; Intelligent agent; Semantics; Stress; Syntactics; NLP; reference resolution; semantics;
Conference_Titel :
Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-7912-2
Electronic_ISBN :
978-0-7695-4154-9
DOI :
10.1109/ICSC.2010.103