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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 21–27 of 27 papers

TitleStatusHype
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths—0
TIMERS: Document-level Temporal Relation Extraction—0
UTTime: Temporal Relation Classification using Deep Syntactic Features—0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
How about Time? Probing a Multilingual Language Model for Temporal RelationsCode0
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
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