@inproceedings{giulianelli-fernandez-2021-analysing,
title = "Analysing Human Strategies of Information Transmission as a Function of Discourse Context",
author = "Giulianelli, Mario and
Fern{\'a}ndez, Raquel",
editor = "Bisazza, Arianna and
Abend, Omri",
booktitle = "Proceedings of the 25th Conference on Computational Natural Language Learning",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.conll-1.50",
doi = "10.18653/v1/2021.conll-1.50",
pages = "647--660",
abstract = "Speakers are thought to use rational information transmission strategies for efficient communication (Genzel and Charniak, 2002; Aylett and Turk, 2004; Jaeger and Levy, 2007). Previous work analysing these strategies in sentence production has failed to take into account how the information content of sentences varies as a function of the available discourse context. In this study, we estimate sentence information content within discourse context. We find that speakers transmit information at a stable rate{---}i.e., rationally{---}in English newspaper articles but that this rate decreases in spoken open domain and written task-oriented dialogues. We also observe that speakers{'} choices are not oriented towards local uniformity of information, which is another hypothesised rational strategy. We suggest that a more faithful model of communication should explicitly include production costs and goal-oriented rewards.",
}
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<abstract>Speakers are thought to use rational information transmission strategies for efficient communication (Genzel and Charniak, 2002; Aylett and Turk, 2004; Jaeger and Levy, 2007). Previous work analysing these strategies in sentence production has failed to take into account how the information content of sentences varies as a function of the available discourse context. In this study, we estimate sentence information content within discourse context. We find that speakers transmit information at a stable rate—i.e., rationally—in English newspaper articles but that this rate decreases in spoken open domain and written task-oriented dialogues. We also observe that speakers’ choices are not oriented towards local uniformity of information, which is another hypothesised rational strategy. We suggest that a more faithful model of communication should explicitly include production costs and goal-oriented rewards.</abstract>
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%0 Conference Proceedings
%T Analysing Human Strategies of Information Transmission as a Function of Discourse Context
%A Giulianelli, Mario
%A Fernández, Raquel
%Y Bisazza, Arianna
%Y Abend, Omri
%S Proceedings of the 25th Conference on Computational Natural Language Learning
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online
%F giulianelli-fernandez-2021-analysing
%X Speakers are thought to use rational information transmission strategies for efficient communication (Genzel and Charniak, 2002; Aylett and Turk, 2004; Jaeger and Levy, 2007). Previous work analysing these strategies in sentence production has failed to take into account how the information content of sentences varies as a function of the available discourse context. In this study, we estimate sentence information content within discourse context. We find that speakers transmit information at a stable rate—i.e., rationally—in English newspaper articles but that this rate decreases in spoken open domain and written task-oriented dialogues. We also observe that speakers’ choices are not oriented towards local uniformity of information, which is another hypothesised rational strategy. We suggest that a more faithful model of communication should explicitly include production costs and goal-oriented rewards.
%R 10.18653/v1/2021.conll-1.50
%U https://aclanthology.org/2021.conll-1.50
%U https://doi.org/10.18653/v1/2021.conll-1.50
%P 647-660
Markdown (Informal)
[Analysing Human Strategies of Information Transmission as a Function of Discourse Context](https://aclanthology.org/2021.conll-1.50) (Giulianelli & Fernández, CoNLL 2021)
ACL