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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 110 of 27 papers

TitleStatusHype
tieval: An Evaluation Framework for Temporal Information Extraction SystemsCode1
Selecting Optimal Context Sentences for Event-Event Relation ExtractionCode1
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation ExtractionCode1
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?Code0
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning0
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction0
RSGT: Relational Structure Guided Temporal Relation Extraction0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning0
How about Time? Probing a Multilingual Language Model for Temporal RelationsCode0
DCT-Centered Temporal Relation Extraction0
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