Tense and Aspect: A Mereological Approach
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Natural Language. Pages 1222-1228.
Abstract
The purpose of this work is to provide a framework to address tense and aspect (Aktionsarten) phenomena in an unified way, mainly focusing on semantic representation. To achieve this goal we propose that: a) verbal morphology plays a crucial role in specifying the temporal meaning of a sentence and b) that morphosyntactic rules hold cross linguistically. For the purposes of semantic representation, we model the domain of events within an non-extensional mereological framework. This allows for a proper representation of perfective and imperfective events and of habituals, by means of plural quantifiers ranging on collections of events. With respect to tenses, we consider the present and the present perfect in Germanic and Romance, showing how different behaviours can be reduced to morphosyntactic differences. The relevance of this work for NLP lies in the conciseness of the semantic representations and in the compactness and generality of the linguistic knowledge bases (grammars, lexicons, semantic rules) allowed by the framework discussed.
@inproceedings{ijcai1993p169,
title = {Tense and Aspect: A Mereological Approach},
author = {Franconi, Enrico and Giorgi, Alessandra and Pianesi, Fabio},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {1222--1228},
year = {1993},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1993/169},
}
TY - CPAPER TI - Tense and Aspect: A Mereological Approach AU - Franconi, Enrico AU - Giorgi, Alessandra AU - Pianesi, Fabio T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 1222 EP - 1228 UR - https://ijcai.org/proceedings/1993/169 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: