Papers by Jaromir Savelka

2 papers
Semantic Span Annotation: An Exploratory Study of LLM Annotation (2026.acl-srw)

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Challenge: Structured span extraction research is siloed by context length, annotation task, and domain . Identifying a span within a natural language text and affixing it with a semantic label has been considered a core task in NLP .
Approach: They propose a framework for structured span annotation that integrates five datasets under a common JSONL format with character-level offsets.
Outcome: The proposed framework can generalize across four domains under three prompting configurations.
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models (2021.findings-emnlp)

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Challenge: Understanding written laws is difficult because the abstract rules must account for a variety of situations, even those not yet encountered.
Approach: They constructed a dataset of 26,959 sentences and labeled them in terms of their usefulness for explaining selected legal concepts.
Outcome: The proposed models outperform the prior approaches and can learn surprisingly sophisticated features.

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