Recognition of Temporal Relation in One Sentence Based on Maximum Entropy
Wang Feng-e, Hongye Tan, Qian Yili · Jisuanji gongcheng · 2012
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%.