3 papers
cs.CL2023
Towards Harmful Erotic Content Detection through Coreference-Driven Contextual Analysis
Inez Okulska, Emilia Wiśnios
Adult content detection still poses a great challenge for automation. Existing classifiers primarily focus on distinguishing between erotic and non-erotic texts. However, they ofte…
cs.CL2023
Deep Dive into the Language of International Relations: NLP-based Analysis of UNESCO's Summary Records
Joanna Wojciechowska, Mateusz Sypniewski, Maria Śmigielska +4
Cultural heritage is an arena of international relations that interests all states worldwide. The inscription process on the UNESCO World Heritage List and the UNESCO Representativ…
cs.CL2023
HADES: Homologous Automated Document Exploration and Summarization
Piotr Wilczyński, Artur Żółkowski, Mateusz Krzyziński +5
This paper introduces HADES, a novel tool for automatic comparative documents with similar structures. HADES is designed to streamline the work of professionals dealing with large…