Geocoding Multilingual Texts: Recognition, Disambiguation and Visualisation
Geocoding Multilingual Texts: Recognition, Disambiguation and Visualisation
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多语言文本地理编码：识别、消歧和可视化
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
C. Best
中科院分区：
文献类型：
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作者：
B. Pouliquen;M. Kimler;R. Steinberger;Camelia Ignat;Tamara Oellinger;K. Blackler;F. Fuart;W. Zaghouani;Anna Widiger;Ann;C. Best
我们正在提出一种识别自由文本中的地理参考的方法。我们的工具必须适用于各种语言，并且具有最少的语言相关资源（地名词典除外）。主要的困难是通过区分地点和人以及从世界范围内的同形异义地名列表中选择最有可能的地点来消除这些地名的歧义。该系统使用许多独立于语言的线索和启发法来消除地名同形异义词的歧义。最终目标是将文本与它们提到的国家和城市建立索引，并使用各种工具在地理地图上自动可视化这些信息。
We are presenting a method to recognise geographical references in free text. Our tool must work on various languages with a minimum of language-dependent resources, except a gazetteer. The main difficulty is to disambiguate these place names by distinguishing places from persons and by selecting the most likely place out of a list of homographic place names world-wide. The system uses a number of language-independent clues and heuristics to disambiguate place name homographs. The final aim is to index texts with the countries and cities they mention and to automatically visualise this information on geographical maps using various tools.