旅游问题的空间-文本联合推理
Joint Spatio-Textual Reasoning for Answering Tourism Questions
摘要：
我们的目标是回答现实世界的旅游问题，寻求兴趣点（POI）的建议。这些问题表达了各种空间和非空间的限制，需要结合文本和空间推理。作为回应，我们开发了第一个联合空间-文本推理模型，它结合了地理空间知识和文本语料库中的信息来回答问题。我们首先开发了一个模块化的空间推理网络，使用地理坐标的位置名称中提到的一个问题，和候选答案POI，原因只有空间限制。然后，我们结合我们的空间推理机与文本推理机在一个联合模型和现实世界的POI推荐任务的实验。我们报告了显着的改进，现有的模型没有联合空间-文本推理。
英文摘要：
Our goal is to answer real-world tourism questions that seek Points-of-Interest (POI) recommendations. Such questions express various kinds of spatial and non-spatial constraints, necessitating a combination of textual and spatial reasoning. In response, we develop the first joint spatio-textual reasoning model, which combines geo-spatial knowledge with information in textual corpora to answer questions. We first develop a modular spatial-reasoning network that uses geo-coordinates of location names mentioned in a question, and of candidate answer POIs, to reason over only spatial constraints. We then combine our spatial-reasoner with a textual reasoner in a joint model and present experiments on a real world POI recommendation task. We report substantial improvements over existing models with-out joint spatio-textual reasoning.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
