@inproceedings{adams-etal-2022-concrete,
title = "Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads",
author = "Adams, Jetske and
Poelmans, Kyrill and
Hendrickx, Iris and
Larson, Martha",
editor = "Chakravarthi, Bharathi Raja and
Bharathi, B and
McCrae, John P and
Zarrouk, Manel and
Bali, Kalika and
Buitelaar, Paul",
booktitle = "Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.ltedi-1.3",
doi = "10.18653/v1/2022.ltedi-1.3",
pages = "19--25",
abstract = "This paper makes the case for studying concreteness in language as a bridge that will allow language technology to support the understanding and improvement of ethnic inclusivity in job advertisements. We propose an annotation scheme that guides the assignment of sentences in job ads to classes that reflect concrete actions, i.e., what the employer needs people to $do$, and abstract dispositions, i.e., who the employer expects people to $be$. Using an annotated dataset of Dutch-language job ads, we demonstrate that machine learning technology is effectively able to distinguish these classes.",
}
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<abstract>This paper makes the case for studying concreteness in language as a bridge that will allow language technology to support the understanding and improvement of ethnic inclusivity in job advertisements. We propose an annotation scheme that guides the assignment of sentences in job ads to classes that reflect concrete actions, i.e., what the employer needs people to do, and abstract dispositions, i.e., who the employer expects people to be. Using an annotated dataset of Dutch-language job ads, we demonstrate that machine learning technology is effectively able to distinguish these classes.</abstract>
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%0 Conference Proceedings
%T Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads
%A Adams, Jetske
%A Poelmans, Kyrill
%A Hendrickx, Iris
%A Larson, Martha
%Y Chakravarthi, Bharathi Raja
%Y Bharathi, B.
%Y McCrae, John P.
%Y Zarrouk, Manel
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F adams-etal-2022-concrete
%X This paper makes the case for studying concreteness in language as a bridge that will allow language technology to support the understanding and improvement of ethnic inclusivity in job advertisements. We propose an annotation scheme that guides the assignment of sentences in job ads to classes that reflect concrete actions, i.e., what the employer needs people to do, and abstract dispositions, i.e., who the employer expects people to be. Using an annotated dataset of Dutch-language job ads, we demonstrate that machine learning technology is effectively able to distinguish these classes.
%R 10.18653/v1/2022.ltedi-1.3
%U https://aclanthology.org/2022.ltedi-1.3
%U https://doi.org/10.18653/v1/2022.ltedi-1.3
%P 19-25
Markdown (Informal)
[Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads](https://aclanthology.org/2022.ltedi-1.3) (Adams et al., LTEDI 2022)
ACL