Abstract
In recent years, there has been renewed interest in the NLP community in genuine language understanding and dialogue. Thus the long-standing issue of how the semantic content of language should be represented is reentering the communal discussion. This paper provides a brief "opinionated survey" of broadcoverage semantic representation (SR). It suggests multiple desiderata for such representations, and then outlines more than a dozen approaches to SR-some longstanding, and some more recent, providing quick characterizations, pros, cons, and some comments on implementations.
Cite
CITATION STYLE
Schubert, L. (2015). Semantic representation. In Proceedings of the National Conference on Artificial Intelligence (Vol. 6, pp. 4132–4138). AI Access Foundation. https://doi.org/10.1609/aaai.v29i1.9759
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.