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Temporal Relation Classification

Temporal Relation Classification is the task that is concerned with classifying the temporal relation between a pair of temporal entities (traditional events and temporal expressions). Initial approaches aimed to classify the temporal relation in thirteen relation types that were depicted by James Allen in his seminal work "Maintaining Knowledge about Temporal Intervals". However, due to the ambiguity in the annotation, recent corpora have been limiting the type of relations to a subset of those relations.

Notice that although Temporal Relation Classification can be thought of as a subtask of Temporal Relation Extraction, the two tasks can be morphed if one adds a label that indicates the absence of a temporal relation between the entities (e.g. "no_relation" or "vague") to Temporal Relation Classification.

Papers

Showing 1120 of 27 papers

TitleStatusHype
TIMERS: Document-level Temporal Relation Extraction0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
Temporal Event Knowledge Acquisition via Identifying Narratives0
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events0
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths0
On the contribution of word embeddings to temporal relation classification0
Temporal Relation Classification using a Model of Tense and Aspect0
Exploiting Timegraphs in Temporal Relation Classification0
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