易觅，Eame General，文章利器，中、英文论文写作必备。

完整版LCSTS数据集，由于文件大小限制，里面是一个txt，包含了下载链接

关于论文“Methods for interpreting and understanding deep neural networks”的学习摘要

外文文献，翻译。 用于外文文献，翻译。 外文文献，翻译。 用于外文文献，翻译。

文摘专家万小军博士关于自动文摘的有关介绍

SHA1或MD5算法获取文件摘要值(JAVA)

本压缩包包括 SHA-3 python源代码，和官方文档。 hash 结果为 标准 hash 值，注释详细，适合初学者。 本代码实现的是 SHA-3 512 hash 算法。 现列出本代码 空字符 hash 值 便于检验 ('a69f73cca23a9ac5c8b567dc185a756e97c982164fe25859e0d1dcc1475c80a615b2123af1f5f94c11e3e9402c3ac558f500199d95b6d3e301758586281dcd26') 可以用 python3 自带 hashlib 类检验

利用python编写了完整爬虫代码，用于爬取百度搜索新闻，输入任意关键词可以爬取相关新闻，对爬取的新闻进行词频统计，分词处理后自动生成新闻摘要。附有完整爬虫、摘要生成及分词处理代码，另有使用说明备注。

从最基础的统计方法到前沿的应用深度学习、强化学习的文档摘要方法。还包括性能优化策略。（附：开源代码）

文档中包含网盘的地址，数据共319M NLP方向文本摘要，文本分类，等方向可采纳！ The LCSTS dataset includes two parts: /DATA: 1. PART I: is the main contents of LCSTS that contains 2,400,591 (short text, summary) pairs. It can be used to train supervised learning models for summary generation. 2. PART II: contains 10,666 human labled (short text, summary) pairs which can be used to train classifier to filter the noises of the PART I. 3. PART III: contains 1,106 (short text, summary) pairs, this part is labled by 3 persons with the same labels. These pairs with score 3,4 and 5 can be used as test set for evaluating summary generation systems. /Result: 1.sumary.generated.char.context.txt: contains the summary generated by using RNN+context on the character based input. 2.sumary.generated.char.nocontext.txt: contains the summary generated by using RNN+nocontext on the character based input. 3.sumary.generated.word.context.txt: contains the summary generated by using RNN+context on the word based input. 4.sumary.generated.word.nocontext.txt: contains the summary generated by using RNN+nocontext on the word based input. 5.weibo.txt: contains the weibo of the test set. 6.sumary.human: contains the sumaries corresponding to 'weibo.txt' written by human. This part is the test set of the paper. 7. rouge.char_context.txt: the rouge metric on sumary.generated.char.context 8. rouge.char_nocontext.txt:the rouge metric on sumary.generated.char.nocontext 9. rouge.word_context.txt: the rouge metric on sumary.generated.word.context 10. rouge.word_nocontext.txt:the rouge metric on sumary.generated.word.nocontext