故障传感器及其在基于知识的文本处理中的应用

S. Mihov, K. Schulz
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引用次数: 0

摘要

编码词典和相关知识库的有限状态设备通常变得非常大。减小有限状态自动机大小的一种众所周知的技术是使用故障转换。这里我们将有限状态自动机的失效转移概念推广到后续换能器的情况。新意义上的失败过渡没有输入,但可能产生输出。作为故障传感器的一个应用领域,我们考虑了在最左最长替换策略下具有大重写词典的文本重写。结果表明,与使用标准的后续换能器相比,使用故障换能器可以大大减少空间。作为一个具体的例子,我们展示了如何使用故障传感器将输入文本中的所有维基百科概念以在线方式与维基百科页面中的概念链接起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Failure Transducers and Applications in Knowledge-Based Text Processing
Finite-state devices encoding lexica and related knowledge bases often become very large. A well-known technique for reducing the size of finite-state automata is the use of failure transitions. Here we generalize the concept of failure transitions for finite-state automata to the case of subsequential transducers. Failure transitions in the new sense do not have input but may produce output. As an application field for failure transducers we consider text rewriting with large rewrite lexica under the leftmost-longest replacement strategy. It is shown that using failure transducers leads to a huge space reduction compared to the use of standard subsequential transducers. As a concrete example we show how all Wikipedia concepts in an input text can be linked in an online manner with the Wikipedia pages of the concepts using failure transducers.
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