Selecting Tense, Aspect, and Connecting Words In Language Generation
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Natural Language. Pages 1299-1306.
Abstract
Generating language that reflects the temporal organization of represented knowledge requires a language generation model that integrates contemporary theories of tense and aspect, temporal representations, and methods to plan text . This paper presents a model that produces complex sentences that reflect temporal relations present in underlying temporal concepts. The main result of this work is the successful application of constrained linguistic theories of tense and aspect to a generator which produces meaningful event combinations and selects appropriate connecting words that relate them.
@inproceedings{ijcai1995p167,
title = {Selecting Tense, Aspect, and Connecting Words In Language Generation},
author = {Dorr, Bonnie J. and Gaasterland, Terry},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1299--1306},
year = {1995},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1995/167},
}
TY - CPAPER TI - Selecting Tense, Aspect, and Connecting Words In Language Generation AU - Dorr, Bonnie J. AU - Gaasterland, Terry T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1299 EP - 1306 UR - https://ijcai.org/proceedings/1995/167 ER -Copied
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