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ValNov

Data Mining › Argument Mining › ValNov 11 평가 기록 2 datasets

Given a textual premise and conclusion candidate, the Argument-Validity-and-Novelty-Prediction-Shared-Task ValNov consists in predicting two aspects of a conclusion: its validity and novelty.

Validity is defined as the degree to which the conclusion is justified with respect to the given premise. A conclusion is considered to be valid if it is supported by inferences that link the premise to the conclusion, based on logical principles or commonsense or world knowledge, which may be defeasible. A conclusion will be trivially considered valid if it repeats or summarizes the premise – in which case it can hardly be considered as novel.

Novelty defines the degree to which the conclusion contains content that is new in relation to the premise. As extreme cases, a conclusion candidate that repeats or summarizes the premise or is unrelated to the premise will not be considered novel.

개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.

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Dataset기록된 모델 예시MetricPaperCode
CLTeamL-3
JOINT-F1: 45.16VAL-F1: 74.64NOV-F1: 61.75
논문 코드
NLP@UIT
JOINT-F1: 41.50NOV-F1: 38.39VAL-F1: 44.60
논문 코드

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