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        <title>AnthroSet: a Challenge Dataset for Anthropomorphic Language Detection</title>
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            <namePart type="given">Matthew</namePart>
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    <abstract>This paper addresses the challenge of detecting anthropomorphic language in AI research. We introduce AnthroSet, a novel dataset of 600 manually annotated utterances covering various linguistic structures. Through the evaluation of two current approaches for anthropomorphism and atypical animacy detection, we highlight the limitations of a masked language model approach, arising from masking constraints as well as increasingly anthropomorphizing AI-related terminology. Our findings underscore the need for more targeted methods and a robust definition of anthropomorphism.</abstract>
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%0 Conference Proceedings
%T AnthroSet: a Challenge Dataset for Anthropomorphic Language Detection
%A Lonke, Dorielle
%A Bloem, Jelke
%A Sommerauer, Pia
%Y Przybyła, Piotr
%Y Shardlow, Matthew
%Y Colombatto, Clara
%Y Inie, Nanna
%S Proceedings of Interdisciplinary Workshop on Observations of Misunderstood, Misguided and Malicious Use of Language Models
%D 2025
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F lonke-etal-2025-anthroset
%X This paper addresses the challenge of detecting anthropomorphic language in AI research. We introduce AnthroSet, a novel dataset of 600 manually annotated utterances covering various linguistic structures. Through the evaluation of two current approaches for anthropomorphism and atypical animacy detection, we highlight the limitations of a masked language model approach, arising from masking constraints as well as increasingly anthropomorphizing AI-related terminology. Our findings underscore the need for more targeted methods and a robust definition of anthropomorphism.
%U https://aclanthology.org/2025.ommm-1.3/
%P 27-39

Markdown (Informal)

[AnthroSet: a Challenge Dataset for Anthropomorphic Language Detection](https://aclanthology.org/2025.ommm-1.3/) (Lonke et al., OMMM 2025)

• AnthroSet: a Challenge Dataset for Anthropomorphic Language Detection (Lonke et al., OMMM 2025)

ACL

• Dorielle Lonke, Jelke Bloem, and Pia Sommerauer. 2025. AnthroSet: a Challenge Dataset for Anthropomorphic Language Detection. In Proceedings of Interdisciplinary Workshop on Observations of Misunderstood, Misguided and Malicious Use of Language Models, pages 27–39, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.