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Temporal Relation Classification

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하위 태스크
0
평가표
4
보존된 평가 기록
13

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.

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

MATRES

원본 태스크: Relation Extraction / Temporal Relation Extraction / Temporal Relation Classification

평가 기록 4건

TB-Dense

원본 태스크: Relation Extraction / Temporal Relation Extraction / Temporal Relation Classification

평가 기록 3건

TDDAuto

원본 태스크: Relation Extraction / Temporal Relation Extraction / Temporal Relation Classification

평가 기록 3건

TDDMan

원본 태스크: Relation Extraction / Temporal Relation Extraction / Temporal Relation Classification

평가 기록 3건

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