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Automatic Extraction of Acronyms from Text 从文本中自动提取缩略语
Pub Date : 1999-04-12 DOI: 10.26686/WGTN.12922298.V2
Stuart Yeates
A brief introduction to acronyms is given and motivation for extracting them in a digital library environment is discussed. A technique for extracting acronyms is given with an analysis of the results. The technique is found to have a low number of false negatives and a high number of false positives. Introduction Digital library research seeks to build tools to enable access of content, while making as few as possible assumptions about the content, since assumptions limit the range of applicability of the tools. Generally, the broader the assumptions the more widely applicable the tools. For example, keyword based indexing [5] is based on communications theory and applies to all natural human textual languages (allowances for differences in character sets and similar localisation issues not withstanding) . The algorithm described in this paper makes much stronger assumptions about the content. It assumes textual content that contains acronyms, an assumption which is known to hold for...
简要介绍了缩略语,并讨论了在数字图书馆环境中提取缩略语的动机。给出了一种提取缩略语的技术,并对结果进行了分析。该技术被发现具有低数量的假阴性和高数量的假阳性。数字图书馆研究试图构建工具来访问内容,同时尽可能少地对内容进行假设,因为假设限制了工具的适用性范围。一般来说,假设越广泛,工具的适用范围就越广。例如,基于关键字的索引[5]基于通信理论,适用于所有自然的人类文本语言(不考虑字符集的差异和类似的本地化问题)。本文中描述的算法对内容做了更强的假设。它假设文本内容包含首字母缩写词,这一假设已知适用于……
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引用次数: 89
Path-Tracking Control of Non-Holonomic Car-Like Robot with Reinforcement Learning 基于强化学习的非完整类车机器人路径跟踪控制
Pub Date : 1900-01-01 DOI: 10.1007/3-540-45327-X_12
Yuming Lin, J. Baltes
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引用次数: 20
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New Zealand Computer Science Research Students' Conference
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