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Thesis Proposal: Detecting Agency Attribution
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4466-1567
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-8503-0118
2024 (English)In: Proceedings of the 18th conference of the European chapter of the association for computational linguistics: student research workshop / [ed] Neele Falk; Sara Papi; Mike Zhang, Association for Computational Linguistics (ACL) , 2024, p. 208-214Conference paper, Published paper (Refereed)
Abstract [en]

We explore computational methods for perceived agency attribution in natural language data. We consider ‘agency’ as the freedom and capacity to act, and the corresponding Natural Language Processing (NLP) task involves automatically detecting attributions of agency to entities in text. Our theoretical framework draws on semantic frame analysis, role labelling and related techniques. In initial experiments, we focus on the perceived agency of AI systems. To achieve this, we analyse a dataset of English-language news coverage of AI-related topics, published within one year surrounding the release of the Large Language Model-based service ChatGPT, a milestone in the general public’s awareness of AI. Building on this, we propose a schema to annotate a dataset for agency attribution and formulate additional research questions to answer by applying NLP models.

Place, publisher, year, edition, pages
Association for Computational Linguistics (ACL) , 2024. p. 208-214
National Category
Language Technology (Computational Linguistics) Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-222874Scopus ID: 2-s2.0-85188728107ISBN: 9798891760905 (electronic)OAI: oai:DiVA.org:umu-222874DiVA, id: diva2:1851967
Conference
18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024, St. Julian’s, Malta, March 17-22, 2024
Funder
Marianne and Marcus Wallenberg FoundationWallenberg AI, Autonomous Systems and Software Program (WASP)Available from: 2024-04-16 Created: 2024-04-16 Last updated: 2024-04-16Bibliographically approved

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Ryazanov, IgorBjörklund, Johanna

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Total: 27 hits
CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf