Relation: Temporal

Decoding the Timeline: A Guide to Temporal Relations In the realm of language and data, are the glue that holds narratives and sequences together. They define the "when" factor between events, allowing us to understand if one event occurred before, after, or simultaneously with another. What Are Temporal Relations?

At its core, a temporal relation (often tagged as in technical frameworks like TimeML) describes the connection between two entities—typically events or time expressions. For instance, in the sentence "John arrived after the meeting started," the temporal relation between "arrived" and "started" is AFTER . Commonly recognized relations include: BEFORE / AFTER : Sequential ordering. SIMULTANEOUS : Events happening at the exact same time. OVERLAP : Events that share a portion of time. temporal relation

: Researchers are developing models that can forecast future events by reasoning through the temporal context of past ones. The Challenge of Extraction Decoding the Timeline: A Guide to Temporal Relations

Contextualized Word Embeddings Enhanced Event Temporal ... - arXiv At its core, a temporal relation (often tagged

[1904.11942] Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding.

Temporal Event Knowledge Acquisition via Identifying Narratives