@inproceedings{bird-2024-must,
title = "Must {NLP} be Extractive?",
author = "Bird, Steven",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.luhme-long.797/",
doi = "10.18653/v1/2024.acl-long.797",
pages = "14915--14929",
abstract = "How do we roll out language technologies across a world with 7,000 languages? In one story, we scale the successes of NLP further into {\textquoteleft}low-resource' languages, doing ever more with less. However, this approach does not recognise the fact that, beyond the 500 institutional languages, the remaining languages are oral vernaculars spoken by communities who use a language of wider communication to interact with the outside world. I argue that such {\textquoteleft}contact languages' are the appropriate target for technologies like machine translation, and that the 6,500 oral languages must be approached differently. I share a story from an Indigenous community, where local people reshaped an extractive agenda to align with their relational agenda. I describe the emerging paradigm of relational NLP and explain how it opens the way to non-extractive methods and to solutions that enhance human agency."
}
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%0 Conference Proceedings
%T Must NLP be Extractive?
%A Bird, Steven
%Y Ku, Lun-Wei
%Y Martins, Andre
%Y Srikumar, Vivek
%S Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F bird-2024-must
%X How do we roll out language technologies across a world with 7,000 languages? In one story, we scale the successes of NLP further into ‘low-resource’ languages, doing ever more with less. However, this approach does not recognise the fact that, beyond the 500 institutional languages, the remaining languages are oral vernaculars spoken by communities who use a language of wider communication to interact with the outside world. I argue that such ‘contact languages’ are the appropriate target for technologies like machine translation, and that the 6,500 oral languages must be approached differently. I share a story from an Indigenous community, where local people reshaped an extractive agenda to align with their relational agenda. I describe the emerging paradigm of relational NLP and explain how it opens the way to non-extractive methods and to solutions that enhance human agency.
%R 10.18653/v1/2024.acl-long.797
%U https://aclanthology.org/2024.luhme-long.797/
%U https://doi.org/10.18653/v1/2024.acl-long.797
%P 14915-14929
Markdown (Informal)
[Must NLP be Extractive?](https://aclanthology.org/2024.luhme-long.797/) (Bird, ACL 2024)
ACL
- Steven Bird. 2024. Must NLP be Extractive?. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14915–14929, Bangkok, Thailand. Association for Computational Linguistics.