SOURCE-LINKED INTELLIGENCE
Improving Cross-Lingual Transfer for Sequential Sentence Classification in Research Papers via Structural Similarity
Sequential sentence classification (SSC) is an essential task for structuring scientific publications, and extending SSC research to languages other than English can improve accessibility to scientific knowledge in multilingual digital libraries. Cross-lingual transfer is a promising approach to address the scarcity of training data in non-English languages. Prior work on other natural language processing tasks has shown the benefits of capturing linguistic similarity between source and target languages. However, SSC inherently depends on patterns at the discourse level, such as label sequence
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T03:47:49.000Z
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.