Kuznetsov, Ilia ; Gurevych, Iryna (2024)
An Inclusive Notion of Text.
The 61st Annual Meeting of the Association for Computational Linguistics. Toronto, Canada (09.-14.07.2023)
doi: 10.26083/tuprints-00027658
Conference or Workshop Item, Secondary publication, Publisher's Version
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Item Type: | Conference or Workshop Item |
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Type of entry: | Secondary publication |
Title: | An Inclusive Notion of Text |
Language: | English |
Date: | 8 July 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2023 |
Place of primary publication: | Kerrville, TX, USA |
Publisher: | ACL |
Book Title: | Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) |
Event Title: | The 61st Annual Meeting of the Association for Computational Linguistics |
Event Location: | Toronto, Canada |
Event Dates: | 09.-14.07.2023 |
DOI: | 10.26083/tuprints-00027658 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | Natural language processing (NLP) researchers develop models of grammar, meaning and communication based on written text. Due to task and data differences, what is considered text can vary substantially across studies. A conceptual framework for systematically capturing these differences is lacking. We argue that clarity on the notion of text is crucial for reproducible and generalizable NLP. Towards that goal, we propose common terminology to discuss the production and transformation of textual data, and introduce a two-tier taxonomy of linguistic and non-linguistic elements that are available in textual sources and can be used in NLP modeling. We apply this taxonomy to survey existing work that extends the notion of text beyond the conservative language-centered view. We outline key desiderata and challenges of the emerging inclusive approach to text in NLP, and suggest community-level reporting as a crucial next step to consolidate the discussion. |
Identification Number: | 2023.acl-long.633 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-276586 |
Classification DDC: | 000 Generalities, computers, information > 004 Computer science |
Divisions: | 20 Department of Computer Science > Ubiquitous Knowledge Processing |
Date Deposited: | 08 Jul 2024 09:23 |
Last Modified: | 17 Jul 2024 11:55 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/27658 |
PPN: | 519664728 |
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