@inproceedings{schuster-etal-2020-stochastic,
title = "Stochastic Frames",
author = "Schuster, Annika and
Stroessner, Corina and
Sutton, Peter and
Zeevat, Henk",
editor = "Howes, Christine and
Chatzikyriakidis, Stergios and
Ek, Adam and
Somashekarappa, Vidya",
booktitle = "Proceedings of the Probability and Meaning Conference (PaM 2020)",
month = jun,
year = "2020",
address = "Gothenburg",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.pam-1.11",
pages = "78--85",
abstract = "In the frame hypothesis (CITATION), human concepts are equated with frames, which extend feature lists by a functional structure consisting of attributes and values. For example, a bachelor is represented by the attributes gender and marital status and their values {`}male{'} and {`}unwed{'}. This paper makes the point that for many applications of concepts in cognition, including for concepts to be associated with lexemes in natural languages, the right structures to assume are not merely frames but stochastic frames in which attributes are associated with probability distributions over values. The paper introduces the idea of stochastic frames and suggests three applications: vagueness, ambiguity, and typicality.",
}
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<abstract>In the frame hypothesis (CITATION), human concepts are equated with frames, which extend feature lists by a functional structure consisting of attributes and values. For example, a bachelor is represented by the attributes gender and marital status and their values ‘male’ and ‘unwed’. This paper makes the point that for many applications of concepts in cognition, including for concepts to be associated with lexemes in natural languages, the right structures to assume are not merely frames but stochastic frames in which attributes are associated with probability distributions over values. The paper introduces the idea of stochastic frames and suggests three applications: vagueness, ambiguity, and typicality.</abstract>
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%0 Conference Proceedings
%T Stochastic Frames
%A Schuster, Annika
%A Stroessner, Corina
%A Sutton, Peter
%A Zeevat, Henk
%Y Howes, Christine
%Y Chatzikyriakidis, Stergios
%Y Ek, Adam
%Y Somashekarappa, Vidya
%S Proceedings of the Probability and Meaning Conference (PaM 2020)
%D 2020
%8 June
%I Association for Computational Linguistics
%C Gothenburg
%F schuster-etal-2020-stochastic
%X In the frame hypothesis (CITATION), human concepts are equated with frames, which extend feature lists by a functional structure consisting of attributes and values. For example, a bachelor is represented by the attributes gender and marital status and their values ‘male’ and ‘unwed’. This paper makes the point that for many applications of concepts in cognition, including for concepts to be associated with lexemes in natural languages, the right structures to assume are not merely frames but stochastic frames in which attributes are associated with probability distributions over values. The paper introduces the idea of stochastic frames and suggests three applications: vagueness, ambiguity, and typicality.
%U https://aclanthology.org/2020.pam-1.11
%P 78-85
Markdown (Informal)
[Stochastic Frames](https://aclanthology.org/2020.pam-1.11) (Schuster et al., PaM 2020)
ACL
- Annika Schuster, Corina Stroessner, Peter Sutton, and Henk Zeevat. 2020. Stochastic Frames. In Proceedings of the Probability and Meaning Conference (PaM 2020), pages 78–85, Gothenburg. Association for Computational Linguistics.