一种基于维基百科的多策略词义消歧方法

A Multi-strategy Method for Word Sense Disambiguation Based on Wikipedia

【目的】提出一种基于维基百科的多策略词义消歧方法,充分利用维基百科中的潜在知识进行消歧。【方法】设计类别一致性、内容相关性以及词义重要程度三个指标,并通过动态熵权线性融合各指标值以及二次消歧的方法来确定歧义词在特定语境的最佳词义。【结果】通过实验,该方法取得了74.82%的准确率,可以验证其有效性。【局限】候选词义粒度较细,且主要针对英文进行消歧,对其他语言缺少一定的普适性。【结论】维基百科为消歧提供更多的语义知识和背景信息,能够提高消歧准确率。

[Objective] This paper proposes a multi-strategy method for Word Sense Disambiguation （WSD） based on Wikipedia which makes full use of the latent knowledge in Wikipedia. [Methods] Design three indicators including category commonness, content relatedness and the importance of the word sense, make an entropy-based dynamic linear fusion of these three indicators, combined with re-disambiguation to choose the best sense of an ambiguous term in its context. [Results] Experimental result shows an average precision of 74.82%, therefore validating the feasibility and effectiveness of this method. [Limitations] The proposed method mainly aims at WSD in English with a setting of fine grained candidate senses, lacking certain generality to other languages. [Conclusions] This method provides more semantic knowledge and background information based on Wikipedia which enhance the precision of disambiguation tasks.