Semantic Interpretation Based on the Multi-World Model
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Speech and Natural Language. Pages 1467-1472.
Abstract
This paper proposes the Multi-World Mode/ as a new logical framework for semantic interpretation ofnaturallanguage. The model represents worlds as first-order axiomatic systems linked through interpretations between worlds, which are mappings of theorems between these axiomatic systems . Results of semantic interpretation are assumed to be constructed on such a multi-world structure. To understand ambiguous sentences, people make assumptions to complement information that is unknown to them. If an assumption is consistent with information that is known to them, then they will support that assumption and make a unique interpretation of the sentence. When a new sentence comes in whose interpretation conflicts with a previous interpretation, they will consider another assumption. When the context is fixed, the whole interpretation will be decided by selecting the most preferable assumptions. The Multi-World Model was designed as a formal description of facts, assumptions, background knowledge, and their relationships. This paper defines the Multi-World Model and presents its application to semantic interpretation with concrete examples.
@inproceedings{ijcai1989p234,
title = {Semantic Interpretation Based on the Multi-World Model},
author = {Nagao, Katashi},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {1467--1472},
year = {1989},
month = {8},
note = {Speech and Natural Language},
url = {https://ijcai.org/proceedings/1989/234},
}
TY - CPAPER TI - Semantic Interpretation Based on the Multi-World Model AU - Nagao, Katashi T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1467 EP - 1472 UR - https://ijcai.org/proceedings/1989/234 ER -Copied
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