Mordecai3 is a new end-to-end text geoparser and event geolocation system. The system performs toponym resolution using a new neural ranking model to resolve a place name extracted from a document to its entry in the Geonames gazetteer. It also performs event geocoding, the process of linking events reported in text with the place names where they are reported to occur, using an off-the-shelf question-answering model. The toponym resolution model is trained on a diverse set of existing training data, along with several thousand newly annotated examples. The paper describes the model, its training process, and performance comparisons with existing geoparsers. The system is available as an open source Python library, Mordecai 3, and replaces an earlier geoparser, Mordecai v2, one of the most widely used text geoparsers (Halterman 2017).

翻译：Mordecai 3是一种新型端到端的文本地理解析与事件地理定位系统。该系统通过一种新的神经排序模型，将从文档中提取的地名解析为其在GeoNames地理词典中的对应条目，从而实现地名解析。此外，该系统还利用现成的问答模型执行事件地理编码，即将文本中报告的事件与报告发生地点之间的关联过程。地名解析模型基于多样化的现有训练数据以及数千条新标注示例进行训练。本文描述了该模型、其训练过程以及与现有地理解析器的性能对比。该系统以开源Python库Mordecai 3的形式提供，并取代了此前最广泛使用的文本地理解析器之一——Mordecai v2（Halterman 2017）。