Classifying Temporal Relations with Simple Features

On the contribution of word embeddings to temporal relation classification

Temporal relation classification is a challenging task, especially when there are no explicit markers to characterise the relation between temporal entities. This occurs frequently in inter-sentential relations, whose en…

SERC: Syntactic and Semantic Sequence based Event Relation Classification

Temporal and causal relations play an important role in determining the dependencies between events. Classifying the temporal and causal relations between events has many applications, such as generating event timelines,…

FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences

We study the problem of classifying interval-based temporal sequences (IBTSs). Since common classification algorithms cannot be directly applied to IBTSs, the main challenge is to define a set of features that effectivel…

Looking for the Bottleneck in Fine-grained Temporal Relation Classification

Temporal relation classification is the task of determining the temporal relation between pairs of temporal entities in a text. Despite recent advancements in natural language processing, temporal relation classification…

Classifying Temporal Relations with Rich Linguistic Knowledge