自动过滤多字单位

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI:10.1109/NLPKE.2010.5587783

Y. Liu, Zheng Tie

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引用次数: 0

摘要

本文研究了如何过滤多字单元。我们使用归一化期望(NE)从专利语料库中提取多词候选单位。然后使用停止词、频率、第一个停止词、最后一个停止词和上下文熵对多词单元候选词进行过滤。实验结果表明，过滤后的多词单元准确率提高了8.7%。

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Automatic filtration of multiword units

This paper studies how to filtrate multiword units. We use normalized expectation (NE) to extract multiword unit candidates from patent corpus. Then the multiword unit candidates are filtrated using stop words, frequency, first stop words, last stop words, and contextual entropy. The experimental result shows that the precision rate of multiword units is improved by 8.7% after filtration.

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Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

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