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louivalley tb21434718 professor98911 neo-luo fendaq ougaihei breeef jiniaoxu zyq11223 taogeanton2 moonlione genghf yuanjie-ai znsoftm louisheck 2585575866 guangyongxing liuweiping2020 davidlanz 1060460048 zycosky kiris-tingna juvu majiong asishidairo ares5221 kyroad hwk-recluse qianrenjian hurun wangxiaolei130601 xc15071347094 gokasiko allensmile seeker1943 jingmouren fancycheung moresun lishiqimagic huber1386 balatatree fighting41love zhaoxiaoliang-clh lotustang yolymaker fushunfy jenniejiang brj9836 askintution sportzhang dawin2015 xiaolinpeter dotrado dyleaf starlesschan lpilp jianfengzhai constant-tl surmount1 vivi7d ystone1025 vircoys dystudio guyue55 marscube logistic98 hongzhangmu tantailong dreamstudioai tianbuwei aaronzhangl baonudesifeizhai xiaoxieshop waghhhhhhhh xx-work nlzracbwq9 1947990102fasttextrank's Issues
FastTextRank install error
There is a problem in the process of installing the FastTextRank , could you tell me how to solve this problem?
使用词向量进行相似度计算的流程可以跑通吗？感觉有问题吧
大神，如何一次性处理多个text啊，加了一个text2他不处理
文章摘要时（Sentence级别）返回值是否是按句子在文本中原顺序排序的？
如果不是，希望不要返回sentence的list，而是返回index、sentence元祖的list或者字典的list方便使用者按想要的顺序排序。
如何加载自定义词典
句子相似度计算公式的问题
大佬你好，当前句子计算公式是 交集/log(len(A)+len(b))，这样的话，会不会导致句子越长，得到的相似度越高啊？
fix typo
My algorithm also use word2vec to make the abstract more accurate, but it will cost more time to run the algorithm. Using word2vec costs 40ms per article on the same traning data.
~~traning ~~ training
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