Event Information Extraction Approach Based on Complex Chinese Texts

This paper introduces a new event information extraction approach under the research of a semantic search engine based on temporal and spatial elements. It proposes a method combining the sematic knowledge and statistical learning method. Moreover, it emphasizes the expandability for event tracing function as well as pays more attention to robustness and universality. Relative to the traditional research focusing on some special domain texts or news texts, it explores a method to process complex Chinese texts which are field independent.