The main goal of this work is to assess the contribution of dense vector representations of words and word pairs to temporal relation type classification, as detailed in Section 3.
we want to establish (i) which vector combination schemes are more suitable for classifying pairs of events, (ii) how well word embeddings can be used for this particular task compared to traditional features (Section 4.2), and finally, (iii) whether the combination of traditional features and word embeddings yields a better performance than using the two components in isolation.