1030514181 closed issue 1030514181/OpenAttack#6

1 hour ago

1030514181 commented on issue 1030514181/OpenAttack#6

 IBM NLP API

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1030514181 upload dataset t10k-labels-idx1-ubyte.gz

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1030514181 upload dataset train-labels-idx1-ubyte.gz

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1030514181 upload dataset train-images-idx3-ubyte.gz

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1030514181 closed issue 1030514181/OpenAttack#10

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1030514181 commented on issue 1030514181/OpenAttack#10

计算公式如下： 

1 hour ago

1030514181 commented on issue 1030514181/OpenAttack#10

Bleu是IBM在2002提出的，用于机器翻译任务的评价，发表在ACL，引用次数10000+，原文题目是“BLEU: a Method for Automatic Evaluation of Machine Translation”。 它的总体思想就是准确率，假如给定标准译文reference，神经网络生成的句子是candidate，句子长度为n，candidate中有m个单词出现在reference，m/n就是bleu的1-gram的计算公式。 BLEU还有许多变种。根据n-gram可以划分成多种评价指标，常见的指标有BLEU-1、BLEU-2、BLEU-3、BLEU-4四种，其中n-gram指的是连续的单词个数为n。 BLEU-1衡量的是单词级别的准确性，更高阶的bleu可以衡量句子的流畅性。

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1030514181 created repository 1030514181/atd

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1030514181 upload dataset train.txt

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1030514181 upload dataset dev.txt

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1030514181 upload dataset test.txt

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1030514181 opened issue 1030514181/NER#1

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1030514181 created repository 1030514181/NER

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1030514181 created repository 1030514181/Crawler

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1030514181 merged pull request 1030514181/DeepExploit#1

上传文件至 ''

4 hours ago