Papers with Polish-language

2 papers
Unveiling Dual Quality in Product Reviews: An NLP-Based Approach (2025.acl-industry)

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Challenge: Dual quality is a problem where products with identical ingredients or characteristics are sold under the same brand and similar packaging in different markets, but are significantly altered in composition or quality parameters.
Approach: They propose to use natural language processing to detect inconsistent product quality by analyzing a Polish-language dataset and using different approaches.
Outcome: The proposed approach can detect and address inconsistent product quality in Polish and other languages.
Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse (2025.acl-long)

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Challenge: specialized Polish language models are more effective at detecting harmful content than traditional methods.
Approach: They propose a Polish-language dataset for erotic content detection that captures ambiguity, violence, and socially unacceptable behaviors.
Outcome: The proposed dataset shows that specialized Polish language models achieve superior performance compared to multilingual alternatives, with transformer-based architectures showing particular strength in handling imbalanced categories.

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