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Jun, 2021
SemEval-2021 任务6:利用BART进行跨度检测和分类的WVOQ模型
WVOQ at SemEval-2021 Task 6: BART for Span Detection and Classification
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Cees Roele
TL;DR
本文介绍了使用BART EncoderDecoder模型将文本输入转换为标记化片段的版本,并将此标记转换为片段开头和结尾的识别以及它们的类别的新颖解决方案,以及对于此方法的相对成功和局限性解释和讨论,报告了参加SemEval-2021任务6:检测文本和图像中的说服技巧的情况。
Abstract
A novel solution to
span detection
and
classification
is presented in which a
bart encoderdecoder model
is used to transform textual input
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