CAJ | 학술논문

提出了ID3决策树和WordNet语义知识相结合的方法，用此来确定英语介词短语附着对象。首先将介词附着问题抽象成词汇和语义元组的组合问题，然后转化为对每个词汇和语义元组属性值的决策。单个介词附着决策的正确率达85.15%。此外，该方法可用于处理多重介词附着的两个显著问题：数据稀疏和附着歧义更大，即提出了递归运用前面的决策结果来解决多重介词附着问题的算法。实验表明，该方法取得了较好的消歧结果。
제출료ID3결책수화WordNet어의지식상결합적방법，용차래학정영 어개사단어부 착대상。수선장개사부착문제추상성사회화어의원조적조합문제，연후전화위대매개사회화 어의 원조속성치적결책。단개개사부착결책적정학솔체85.15%。차외，해방법가용우처리다중개 사부착적량개현저문제：수거희소화부착기의경대，즉제출료체귀운 용전면적결책결과래해결다중개사부착문제적산법。실험표명，해방법취득료교호적소기결 과。
A hybrid method, which combines the decision tree with semantic i nformation, is introduced to solve the problem of the PPA (prepositional phrase attachment). The problem of the PPA is abstracted into the combination of words and semantic class groups, then transferred it into the induction of their value s of the attributes. Solution to the PPA with this method reports an accuracy of 85.15% on open test. The method is extended to deal with two related problems of multiple PPA: more sparse data and more severe syntactic ambiguities. In resolving subsequent multiple PPA, an algor ithm which solves the two problems through recursive-use of the result of the d ecisio n obtained from first PP is presented. The experiment shows that the hybrid meth od has given better results than others.