Sentence transformers are language models designed to perform semantic search. This study investigates the capacity of sentence transformers, fine-tuned on general question-answering datasets for asymmetric semantic search, to associate descriptions of human-generated routes across Great Britain with queries often used to describe hiking experiences. We find that sentence transformers have some zero-shot capabilities to understand quasi-geospatial concepts, such as route types and difficulty, suggesting their potential utility for routing recommendation systems.

翻译：句子变换器是为执行语义搜索而设计的语言模型。本研究探讨了句子变换器（针对非对称语义搜索在通用问答数据集上微调后）将描述英国全境人类生成路线的文本与常用于描述徒步体验的查询相关联的能力。我们发现句子变换器具备一定零样本能力来理解准地理空间概念（如路线类型和难度），表明其在路线推荐系统中的潜在应用价值。