Abstract: This paper proposes an integrated parsing and word sense disambiguation system. The ambiguity problem is solved when introducing semantic knowledge into the parser by modifying the lexical grammar iteratively. Syntactic information is used to deal with polysemous words in the training process. The experimental results show that the new method not only improves the parsing performance, but also has a good performance on word sense disambiguation.option and the closed fuel cycle (CFC) option which consists of the thermal reactor recycle (TRR) and the fast reactor along with thermal reactor recycle (FRR) are calculated. The natural uranium demand, the separate work demand, the nuclear power demand on alternative style of reactors, the nuclear assemblies demand and the disposal demand of nuclear wastes are obtained. According to these results, the FRR option is the optimal strategy with the highest utility of uranium as well as the minimum accumulation of the nuclear wastes.

Key words: parsing, word sense disambiguation, integration

摘要： 将句法分析与词义消歧相结合, 根据层次化语义知识的句法分析框架, 在句法分析训练过程中, 利用句法结构信息对文法模型进行调整, 解决了引入语义时所面的歧义问题, 构建一种句法分析和词义消歧的 一体化方法。实验表明, 在句法分析过程中进行词义消歧处理, 使句法分析的性能显著提升, 同时也获得词 将句法分析与词义消歧相结合, 根据层次化语义知识的句法分析框架, 在句法分析训练过程中, 利用句法结构信息对文法模型进行调整, 解决了引入语义时所面对的歧义问题, 构建一种句法分析和词义消歧的一体化方法。实验表明, 在句法分析过程中进行词义消歧处理, 使句法分析的性能显著提升, 同时也获得词义消歧能将句法分析与词义消歧相结合, 根据层次化语义知识的句法分析框架, 在句法分析训练过程中, 利用句法结构信息对文法模型进行调整, 解决了引入语义时所面对的歧义问题, 构建一种句法分析和词义消歧的一体化方法。实验表明, 在句法分析过程中进行词义消歧处理, 使句法分析的性能显著提升, 同时也获得词义消歧能力。

关键词: 句法分析, 词义消歧, 一体化