Event entailment chains extraction for Text-to-Scene conversion

In our study of Text-to-Scene conversation (TTS), which translates natural language into animations automatically, we realized that event entailment knowledge is useful in generating scenes since the main part of a scene is to show an event. In this paper, we provide some results of our attempt to extract event entailment knowledge. We use entailment chains instead of traditional entailment rules since the sequence of events is a process which make useful in TTS. The result shows that the work is worth to continue to study.