基于网络的个人姓名的鲁棒消歧

2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI:10.1109/ICSC.2008.36

Ying Chen, James H. Martin, Martha Palmer

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引用次数: 5

摘要

个人姓名歧义在快速增长的网络资源中很常见。本文探讨了网络个人姓名消歧的鲁棒性特征，该特征完全不受监督，不限于给定的网络语料库。实验表明，广泛的特征不仅可以提高消歧系统的性能，还可以增强消歧系统的鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robust Disambiguation of Web-Based Personal Names

Personal name ambiguity is common in the fast growing web resource. This paper explores robust features for web personal name disambiguation, which is totally unsupervised and is not limited to the given web corpus. The experiments show that the broad features not only can improve the performance, but also increase the robustness of a disambiguation system.

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2008 IEEE International Conference on Semantic Computing

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