@inproceedings{4dbdc2b6bbff42958b04884b6a9ecb6f,
title = "Occasion-sensitive semantics",
abstract = "In this paper we provide a formal model for occasion-sensitive semantics motivated by so called {\textquoteleft}Travis cases{\textquoteright} (Travis 1978, 2000, 2008, 2009). We suggest that understanding of an utterance of ϕ (knowing its truth conditions) can be modelled as a twofold partitioning of worlds in logical space, where the initial partition is induced by the context-invariant meaning of the sentence uttered and the latter on the basis of context-dependent goals. Our model uses only a single parameter to capture occasion-sensitivity of sentences: practical goals.",
author = "Tamara Dobler",
year = "2017",
doi = "10.1007/978-3-319-57837-8_20",
language = "English",
isbn = "9783319578361",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "254--266",
editor = "C. Penco and P. Brezillon and R. Turner",
booktitle = "Modeling and Using Context - 10th International and Interdisciplinary Conference, CONTEXT 2017, Proceedings",
note = "10th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2017 ; Conference date: 20-06-2017 Through 23-06-2017",
}