用小模型重写含专业术语的句子，让外行也能看懂科学文本。
THM@SimpleText 2025 -- Task 1.1: Revisiting Text Simplification based on Complex Terms for Non-Experts
- 用小模型识别复杂术语并重写句子，降低理解门槛。
- 基于Gemini和OpenAI大模型生成简化版本，提升可读性。
- 适合科普、医疗信息传播等需要通俗化表达的场景。
科学文本因包含技术术语而复杂，简化此类文本有助于非领域专家获取创新与信息。例如，政界人士可理解立法相关的新发现，病患家属也可阅读临床试验内容。SimpleText CLEF Lab致力于解决科学文本简化问题。2025年任务1.1聚焦复杂句子的简化，即上下文极少的短文本。本文通过识别句子中的复杂术语，并利用小型Gemini和OpenAI大语言模型为非专家重写文本，探索有效简化策略。
原文摘要 · Abstract (English)
Scientific text is complex as it contains technical terms by definition. Simplifying such text for non-domain experts enhances accessibility of innovation and information. Politicians could be enabled to understand new findings on topics on which they intend to pass a law, or family members of seriously ill patients could read about clinical trials. The SimpleText CLEF Lab focuses on exactly this problem of simplification of scientific text. Task 1.1 of the 2025 edition specifically handles the simplification of complex sentences, so very short texts with little context. To tackle this task we investigate the identification of complex terms in sentences which are rephrased using small Gemini and OpenAI large language models for non-expert readers.
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