论文标题
回答旅游问题的联合空间文本推理
Joint Spatio-Textual Reasoning for Answering Tourism Questions
论文作者
论文摘要
我们的目标是回答寻求利益点（POI）建议的现实世界旅游问题。这些问题表达了各种空间和非空间限制，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的空间文本推理模型，该模型将地理空间知识与文本语料库中的信息相结合以回答问题。我们首先开发了一个模块化的空间策略网络，该网络使用问题和候选人答案POI中提到的位置名称的地理配位，以仅考虑空间约束。然后，我们将我们的空间 - 理想者与文本推理器相结合，并在一个现实世界POI推荐任务上进行实验。我们报告了与现有模型的实质性改进，该模型具有联合空间文本推理。
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.
