@inproceedings{futrell-etal-2020-determines,
title = "What determines the order of adjectives in {E}nglish? Comparing efficiency-based theories using dependency treebanks",
author = "Futrell, Richard and
Dyer, William and
Scontras, Greg",
editor = "Jurafsky, Dan and
Chai, Joyce and
Schluter, Natalie and
Tetreault, Joel",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-main.181",
doi = "10.18653/v1/2020.acl-main.181",
pages = "2003--2012",
abstract = "We take up the scientific question of what determines the preferred order of adjectives in English, in phrases such as big blue box where multiple adjectives modify a following noun. We implement and test four quantitative theories, all of which are theoretically motivated in terms of efficiency in human language production and comprehension. The four theories we test are subjectivity (Scontras et al., 2017), information locality (Futrell, 2019), integration cost (Dyer, 2017), and information gain, which we introduce. We evaluate theories based on their ability to predict orders of unseen adjectives in hand-parsed and automatically-parsed dependency treebanks. We find that subjectivity, information locality, and information gain are all strong predictors, with some evidence for a two-factor account, where subjectivity and information gain reflect a factor involving semantics, and information locality reflects collocational preferences.",
}
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%0 Conference Proceedings
%T What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks
%A Futrell, Richard
%A Dyer, William
%A Scontras, Greg
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F futrell-etal-2020-determines
%X We take up the scientific question of what determines the preferred order of adjectives in English, in phrases such as big blue box where multiple adjectives modify a following noun. We implement and test four quantitative theories, all of which are theoretically motivated in terms of efficiency in human language production and comprehension. The four theories we test are subjectivity (Scontras et al., 2017), information locality (Futrell, 2019), integration cost (Dyer, 2017), and information gain, which we introduce. We evaluate theories based on their ability to predict orders of unseen adjectives in hand-parsed and automatically-parsed dependency treebanks. We find that subjectivity, information locality, and information gain are all strong predictors, with some evidence for a two-factor account, where subjectivity and information gain reflect a factor involving semantics, and information locality reflects collocational preferences.
%R 10.18653/v1/2020.acl-main.181
%U https://aclanthology.org/2020.acl-main.181
%U https://doi.org/10.18653/v1/2020.acl-main.181
%P 2003-2012
Markdown (Informal)
[What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks](https://aclanthology.org/2020.acl-main.181) (Futrell et al., ACL 2020)
ACL