As an important part of Artificial Intelligence (AI), Question Answering (QA) aims at generating answers to questions phrased in natural language. While there has been substantial progress in open-domain question answering, QA systems are still struggling to answer questions which involve geographic entities or concepts and that require spatial operations. In this paper, we discuss the problem of geographic question answering (GeoQA). We first investigate the reasons why geographic questions are difficult to answer by analyzing challenges of geographic questions. We discuss the uniqueness of geographic questions compared to general QA. Then we review existing work on GeoQA and classify them by the types of questions they can address. Based on this survey, we provide a generic classification framework for geographic questions. Finally, we conclude our work by pointing out unique future research directions for GeoQA.

A U.S. Air Force drone the size of a small airliner has crashed in a remote section of California near Mt. Edwards Air Force Base said in a statement that the RQ-4 Global Hawk, an unmanned surveillance aircraft, was making a routine trip Wednesday afternoon from Edwards to its usual home at Beale Air Force Base when it crashed for unknown reasons. The Inyo County Sheriff's Department said the crash caused a small wildfire that was quickly brought under control. The aircraft, which has a 130-foot wingspan, is designed to fly at high altitudes for long distances. It is slowly replacing the manned U-2 spy planes used for decades by the Air Force.