计算机工程2012，Vol.38Issue(4)：37-39,3.
基于最大熵的句内时间关系识别
Recognition of Temporal Relation in One Sentence Based on Maximum Entropy
摘要
Abstract
This article studies the recognition of the temporal relation between an event and a time expression and the temporal relation between two events where one event syntactically dominates the other event in one sentence. It analyzes some effective linguistic features such as dependency parsing information, relative positions, signal words, position of signal words and so on. A method based on maximum entropy model is proposed. In addition, how linguistic features could affect temporal relation recognition is analyzed. Experimental results show the accuracies of the two tasks are respectively 87.83% and 80.79%.关键词
时间关系/句内时间关系/最大熵/依存分析/自然语言处理Key words
temporal relation/ temporal relation in one sentence/ maximum entropy/ dependency analysis/ natural language processing分类
自科综合引用本文复制引用
王风娥,谭红叶,钱揖丽..基于最大熵的句内时间关系识别[J].计算机工程,2012,38(4):37-39,3.基金项目
国家自然科学基金资助项目(61100138,61005053) （61100138,61005053）
山西省高校科技开发基金资助项目(20091001) （20091001）
山西省自然科学基金资助项目(2011011016-2) （2011011016-2）
