Analogy Generation with HowNet
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1148-1152.
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 re-specialization 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.
@inproceedings{ijcai2005p54,
title = {Analogy Generation with HowNet},
author = {Veale, Tony},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1148--1152},
year = {2005},
url = {https://ijcai.org/proceedings/2005/54},
}
TY - CPAPER TI - Analogy Generation with HowNet AU - Veale, Tony T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1148 EP - 1152 UR - https://ijcai.org/proceedings/2005/54 ER -Copied
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