@article{khani-etal-2018-planning,
title = "Planning, Inference and Pragmatics in Sequential Language Games",
author = "Khani, Fereshte and
Goodman, Noah D. and
Liang, Percy",
editor = "Lee, Lillian and
Johnson, Mark and
Toutanova, Kristina and
Roark, Brian",
journal = "Transactions of the Association for Computational Linguistics",
volume = "6",
year = "2018",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/Q18-1037",
doi = "10.1162/tacl_a_00037",
pages = "543--555",
abstract = "We study sequential language games in which two players, each with private information, communicate to achieve a common goal. In such games, a successful player must (i) infer the partner{'}s private information from the partner{'}s messages, (ii) generate messages that are most likely to help with the goal, and (iii) reason pragmatically about the partner{'}s strategy. We propose a model that captures all three characteristics and demonstrate their importance in capturing human behavior on a new goal-oriented dataset we collected using crowdsourcing.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="khani-etal-2018-planning">
<titleInfo>
<title>Planning, Inference and Pragmatics in Sequential Language Games</title>
</titleInfo>
<name type="personal">
<namePart type="given">Fereshte</namePart>
<namePart type="family">Khani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Noah</namePart>
<namePart type="given">D</namePart>
<namePart type="family">Goodman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Percy</namePart>
<namePart type="family">Liang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Transactions of the Association for Computational Linguistics</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>MIT Press</publisher>
<place>
<placeTerm type="text">Cambridge, MA</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>We study sequential language games in which two players, each with private information, communicate to achieve a common goal. In such games, a successful player must (i) infer the partner’s private information from the partner’s messages, (ii) generate messages that are most likely to help with the goal, and (iii) reason pragmatically about the partner’s strategy. We propose a model that captures all three characteristics and demonstrate their importance in capturing human behavior on a new goal-oriented dataset we collected using crowdsourcing.</abstract>
<identifier type="citekey">khani-etal-2018-planning</identifier>
<identifier type="doi">10.1162/tacl_a_00037</identifier>
<location>
<url>https://aclanthology.org/Q18-1037</url>
</location>
<part>
<date>2018</date>
<detail type="volume"><number>6</number></detail>
<extent unit="page">
<start>543</start>
<end>555</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T Planning, Inference and Pragmatics in Sequential Language Games
%A Khani, Fereshte
%A Goodman, Noah D.
%A Liang, Percy
%J Transactions of the Association for Computational Linguistics
%D 2018
%V 6
%I MIT Press
%C Cambridge, MA
%F khani-etal-2018-planning
%X We study sequential language games in which two players, each with private information, communicate to achieve a common goal. In such games, a successful player must (i) infer the partner’s private information from the partner’s messages, (ii) generate messages that are most likely to help with the goal, and (iii) reason pragmatically about the partner’s strategy. We propose a model that captures all three characteristics and demonstrate their importance in capturing human behavior on a new goal-oriented dataset we collected using crowdsourcing.
%R 10.1162/tacl_a_00037
%U https://aclanthology.org/Q18-1037
%U https://doi.org/10.1162/tacl_a_00037
%P 543-555
Markdown (Informal)
[Planning, Inference and Pragmatics in Sequential Language Games](https://aclanthology.org/Q18-1037) (Khani et al., TACL 2018)
ACL