A survey of temporal information extraction and language independent features
Chae-Gyun Lim · 2016
Since there has been an explosive growth of online documents, the knowledge extraction from natural language texts becomes more important to complement limited human ability. In this paper, we introduce existing methods for temporal information extraction from input texts in two viewpoints. One is the researches about language-independent feature generation. Even though linguistic features have been generally utilized to extract time expressions, we need different features which are independent from language characteristics in order to overcome the boundary of particular language. Another is the researches about temporal information extraction based on the common patterns or knowledge bases. By summarizing and discussing existing researches, we can see the current research direction on this field to help better understanding of the temporal information extraction methods.