Challenge: Dehumanisation involves the perception and/or treatment of a social group’s members as less than human.
Approach: They propose to use a new sentiment resource to make it easier to transfer to other languages and to evaluate and use . they then apply the method to study attitudes to migration expressed in Slovene newspapers, and examine how this discourse changed between the 2015-16 migration crisis and the 2022-23 period following the war in Ukraine.
Outcome: The proposed method is easier to transfer to other languages and evaluates . it combines zero-shot cross-lingual valence and arousal detection with statistical significance testing to examine attitudes to migration expressed in Slovene newspapers .

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Challenge: a computational approach to measure metaphorical language is based on immigration discourse on social media.
Approach: They propose a computational approach that leverages word-level and document-level signals to measure metaphor with respect to immigration discourse on social media.
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Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation Scheme (2022.lrec-1)

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Challenge: Using metaphors in media discourse is an increasingly researched topic . media are an important shaper of social reality and metaphors indicate how we think about issues through references to other things.
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Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages (2023.findings-acl)

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Challenge: Sentiment analysis systems are used in hundreds of products and languages . Gender and racial biases are well-studied in English, but understudied elsewhere .
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Beyond Hate Speech: NLP’s Challenges and Opportunities in Uncovering Dehumanizing Language (2025.emnlp-main)

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Challenge: Existing hate speech datasets rarely contain enough instances of dehumanizing content, and current models struggle to distinguish such language from more benign forms of hate or offense.
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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop) (2024.naacl-srw)

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Challenge: NAACL 2024 Student Research Workshop offers archival and non-archival tracks for research papers and thesis proposals.
Approach: NAACL 2024 Student Research Workshop offers archival and non-archival tracks for research papers and thesis proposals.
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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts) (2024.naacl-tutorials)

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Challenge: NAACL 2024 tutorial sessions are a cornerstone event of the conference . a total of 27 tutorial submissions were received, and 6 were selected for presentation .
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A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies (2021.acl-long)

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Challenge: linguistic and social aspects of code-switching are not discussed in the literature in linguistics.
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Computational Analysis of Character Development in Holocaust Testimonies (2025.emnlp-main)

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Challenge: This work examines character development along the narrative timeline by analyzing changes in the protagonist’s views and behavior and the interplay between them.
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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorial Abstracts (2022.naacl-tutorials)

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Challenge: NAACL 2022 tutorials are delivered in a live hybrid format and also available as pre-recorded captioned videos.
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