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SMP CUP 2018
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时间太快啦，转眼就一年了，又到了SMP CUP 2018的时候。今年比赛和去年略有不同，去年是一份数据三个任务，今年则是一个任务独享一份数据。任务一文本分类，任务三文本溯源。
比赛简介
任务一文本分类：给定一篇短文，判断是人类作者、自动摘要、机器翻译和机器作者中的哪一种，详见官网
任务三文本溯源：给
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NLP Internship in Ideepwise Infotech
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2018年3月-2018年6月，我在深思考自然语言处理组担任算法实习工程师
面试是人生中的第二份面试啦，一定程度上算是“老司机”了。面试分成笔试、上机、技术一面、技术二面、技术三面和HR面。
笔试有一道概率题，贝叶斯公式带入算一下就可以。有一道算法题，考的是排序优化，我做出来了，但是方法并不是最好的
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2017年10月-2018年6月，伴随着长达8个月的实习，我度过了漫长而揪心的研究生申请季。我的背景是双非一本信管，GPA90，T101，G160+170+3.5。我申请的方向是CS/DS，最后结果是申11中3，一所平调，一所降调带奖，一所带奖。我是全程自己DIY，没有找中介。
准备学历背景
如果还
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孪生网络(Siamese-LSTM)
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<span itemprop="about" itemscope itemtype="http://schema.org/Thing"><a href="/LuJunru.github.io/categories/Coding/" itemprop="url" rel="index"><span itemprop="name">Coding</span></a></span>
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最近因为公司leader的要求，简单研究了一下孪生网络(Siamese LSTM，一个用来计算句对相似度的模型)。
背景孪生网络的思想比较简单，是分别利用LSTM对待比较的句对中句子进行建模，然后计算两个隐层向量的曼哈顿距离(Manhattan distance)来评价句子相似度。由于LSTM建模过
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