A Bi-Threshold Model for PP-attachment Disambiguation through Backing off to 2-Tuples Directly

摘要：

We present a bi-threshold approach to prepositional phrase attachment disambiguation which is based on a pseudo-backed-off model through backing off to 2-tuples directly. We use 2-tuples counts only to make attachment decision relied on two threshold comparisons. The model alleviates the sparse data problem because 4-tuples and 3-tuples counts are not used. It also achieves good performance with 85.02% accuracy on the test data of the IBM data set. Our experiments show that 4-tuples and 3-tuples counts are unnecessary for resolving prepositional phrase attachment.

关键词： PP-attachment disambiguation pseudo-backed-off model backed-off model bi-threshold approach

作者: Bosen LIAO Huiqiong LUO Luying XIAO

作者单位: School of Computer Science and Engineering, University of Electronic Science and Technology of China School of Foreign Language, University of Electronic Science and Technology of China Chengdu, P. R.

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-5

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）