Caselli and Vossen (2017) showed that only 117 annotated causal relations in this dataset are indicated by explicit causal cue phrases while the others are implicit.
understanding causal relations between events in a document is an important step in text understanding and is beneficial to various NLP applications, such as information extraction, question answering and text summarization.