Abstract Background The Sixth Informatics for Integrating Biology and the Bedside (i2b2)
Natural Language Processing Challenge for Clinical Records focused on the temporal …

Time is an important dimension of any information space. It can be very useful for a wide
range of information retrieval tasks such as document exploration, similarity search …

Clinical TempEval 2016 evaluated temporal information extraction systems on the clinical
domain. Nine sub-tasks were included, covering problems in time expression identification …

We propose a joint event and temporal relation extraction model with shared representation
learning and structured prediction. The proposed method has two advantages over existing …

Existing temporal relation (TempRel) annotation schemes often have low inter-annotator
agreements (IAA) even between experts, suggesting that the current annotation task needs …

Understanding temporal and causal relations between events is a fundamental natural
language understanding task. Because a cause must be before its effect in time, temporal …

Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are
also an essential kind of knowledge in the world, which trigger the spring up of event-centric …

Tempeval-2 comprises evaluation tasks for time expressions, events and temporal relations,
the latter of which was split up in four sub tasks, motivated by the notion that smaller …

The past 10 years of event ordering research has focused on learning partial orderings over
document events and time expressions. The most popular corpus, the TimeBank, contains a …

A critical part of reading is being able to understand the temporal relationships between
events described in a passage of text, even when those relationships are not explicitly …