Geotagging: using proximity, sibling, and prominence clues to understand comma groups
Geotagging: using proximity, sibling, and prominence clues to understand comma groups
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地理标记：使用邻近性、同级和显着性线索来理解逗号组
DOI：
10.1145/1722080.1722088
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Jagan Sankaranarayanan
中科院分区：
文献类型：
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作者：
Michael D. Lieberman;H. Samet;Jagan Sankaranarayanan
地理标记是识别地理位置的文本引用（称为地名）并通过分配每个纬度/经度值来解析这些引用的过程。典型的地理标记算法使用各种启发式证据来为每个地名选择正确的解释。一项研究提出了这样一种启发式方法，它有助于识别和解析地名列表（称为逗号组）。根据地名的共享地理属性，通过推断将它们绑定在一起的共同线索来识别和解析地名的逗号组。提出并研究了三种这样的共同线索——基于人口的显着性、基于距离的邻近性和地理层次结构中的兄弟关系——并指出了每一种的例子。此外，对大型新闻文章数据集中这些逗号组的使用和多样性进行了测量，表明所提出的启发法，特别是邻近启发法和同级启发法，对于解析逗号组地名很有用。
Geotagging is the process of recognizing textual references to geographic locations, known as toponyms, and resolving these references by assigning each lat/long values. Typical geotagging algorithms use a variety of heuristic evidence to select the correct interpretation for each toponym. A study is presented of one such heuristic which aids in recognizing and resolving lists of toponyms, referred to as comma groups. Comma groups of toponyms are recognized and resolved by inferring the common threads that bind them together, based on the toponyms' shared geographic attributes. Three such common threads are proposed and studied --- population-based prominence, distance-based proximity, and sibling relationships in a geographic hierarchy --- and examples of each are noted. In addition, measurements are made of these comma groups' usage and variety in a large dataset of news articles, indicating that the proposed heuristics, and in particular the proximity and sibling heuristics, are useful for resolving comma group toponyms.
DOI：
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发表时间：
2000
期刊：
--
影响因子：
--
作者：
Dan Jurafsky;James H. Martin
通讯作者：
Dan Jurafsky;James H. Martin