末底改3：神经地理解析器和事件地理编码器
Mordecai 3: A Neural Geoparser and Event Geocoder
摘要：
Mordecai3是一个新的端到端文本地理解析器和事件地理定位系统。该系统使用新的神经排序模型进行地名解析，将从文件中提取的地名解析为地名词典中的条目。它还执行事件地理编码，即使用现成的问答模型将文本中报告的事件与报告发生的地名联系起来。地名解析模型是在各种现有的训练数据以及几千个新注释的例子上训练的。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比较。该系统作为开源Python库Mordecai 3提供，并取代了早期的地理解析器Mordecai v2，这是最广泛使用的文本地理解析器之一（Halterman 2017）。
英文摘要：
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).
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。
