Semantic Representation

AAAI 2015 pp. 4132-4139

doi:10.1609/AAAI.V29I1.9759 /aaai/2015/schubert2015aaai-semantic/

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 broad-coverage semantic representation (SR). It suggests multiple desiderata for such representations, and then outlines more than a dozen approaches to SR — some long-standing, and some more recent, providing quick characterizations, pros, cons, and some comments on implementations.

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Cite

Text

Schubert. "Semantic Representation." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9759

Markdown

[Schubert. "Semantic Representation." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/schubert2015aaai-semantic/) doi:10.1609/AAAI.V29I1.9759

BibTeX

@inproceedings{schubert2015aaai-semantic,
  title     = {{Semantic Representation}},
  author    = {Schubert, Lenhart K.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4132-4139},
  doi       = {10.1609/AAAI.V29I1.9759},
  url       = {https://mlanthology.org/aaai/2015/schubert2015aaai-semantic/}
}