欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
该文在基于特征的英文代词指代消解平台上,使用复合核函数,研究指代消解中待消解项＂it＂的识别问题。围绕＂it＂是否是待消解项,该文采取有效策略获得＂it＂句法结构信息与平面特征信息,并将它们结合起来生成＂it＂待消解项分类器。在测试分类器性能的同时,将其运用到代词指代消解中以检验它对指代消解的作用。最后在ACE2003基准语料上实验表明采用复合核生成的分类器具有较高的准确率,并能显著提高代词指代消解性能。
英文摘要：
This paper presents an automatic approach using Composite Kernel of SVM to determining whether ＂it＂ in text refers to a preceding noun phrase or is instead non referential in the platform of feature based English pronoun coreference resolution. We extract structure information and plane feature information about ＂it＂ in order to construct an anaphorlclty filter. We examine the performance of the filter by introducing it into the pronoun coreference resolution task. Evaluation on the ACE2003 benchmark corpus shows that the filter achieves the highest performance by using Composite Kernel and the pronoun coreferenee resolution is improved by employing the filter.
同期刊论文项目
同项目期刊论文
期刊信息
位置：