Abstract:

There are many relevant events concerning a topic. In the era of big data, extracting those events which are relevant to a specific topic is helpful for many natural language processing applications, such as information extraction, text summarization, and text generation. We propose a method to annotate relevant events and construct a Chinese relevant event corpus. We then put forward a relevant event recognition approach based on various distances and semantic features. Experimental results on the annotated corpus show that the proposed approach outperforms the baseline by 4.08% in F1-measure.

Key words: relevant event corpus;annotation;relevance;event relation