Analogy Generation with HowNet

Abstract

Analogy is a powerful boundary-transcending process that exploits a conceptual system's ability to perform controlled generalization in one domain and re-specialization into another. The result of this semantic leap is the transference of meaning from one concept to another from which metaphor derives its name (literally: to carry over). Such generalization and respecialization can be achieved using a variety of representations and techniques, most notably abstraction via a taxonomic backbone, or selective projection via structure-mapping on propositional content. In this paper we explore the extent to which a bilingual lexical ontology for English and Chinese, called HowNet, can support both approaches to analogy.

Cite

Text

Veale. "Analogy Generation with HowNet." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Veale. "Analogy Generation with HowNet." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/veale2005ijcai-analogy/)

BibTeX

@inproceedings{veale2005ijcai-analogy,
  title     = {{Analogy Generation with HowNet}},
  author    = {Veale, Tony},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1148-1153},
  url       = {https://mlanthology.org/ijcai/2005/veale2005ijcai-analogy/}
}