Towards High Performance Multilingual Event Extraction: Language Specific Issue and Feature Exploration

We present an Information Extraction (IE) system that combines traditional IE techniques and cross-document event ranking. Our final goal is to provide the user with ranked events upon a query. The first step is to set up a trainable event extraction engine to glean all possible events from multiple documents. The second step is to construct our data warehouse with refined events. The third step is to build an IR-like engine to produce ranked events upon a user’s query. As the first step, we developed a multilingual event extraction engine using a modularized approach. In this paper, we focus on Chinese event extraction. We point out a language specific issue in Chinese trigger labeling, and then commit to discussing the contributions of lexical, syntactic and semantic features applied in trigger labeling and argument labeling tasks. As a result, we achieved high performance comparable to state-of-the-art English event extraction.