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‎2016/12/04/本周值得读-2016-11-28-2016-11-02/index.html‎ renamed to ‎2016/12/04/本周值得读-2016-11-28-2016-12-02/index.html‎

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<meta name="description" content="一周值得读A Simple, Fast Diverse Decoding Algorithm for Neural Generation 【beam search】在用seq2seq做一些nlp任务的时候，解码器负责将结果一个个地解出来。解码出的结果应该具有多样性的特点，尤其是在chatbot应用中">
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<content type="html"><![CDATA[<h1 id="一周值得读"><a href="#一周值得读" class="headerlink" title="一周值得读"></a>一周值得读</h1><h2 id="A-Simple-Fast-Diverse-Decoding-Algorithm-for-Neural-Generation"><a href="#A-Simple-Fast-Diverse-Decoding-Algorithm-for-Neural-Generation" class="headerlink" title="A Simple, Fast Diverse Decoding Algorithm for Neural Generation "></a><a href="http://t.cn/Rfj8F3k" target="_blank" rel="external">A Simple, Fast Diverse Decoding Algorithm for Neural Generation </a></h2><p>【beam search】在用seq2seq做一些nlp任务的时候，解码器负责将结果一个个地解出来。解码出的结果应该具有多样性的特点，尤其是在chatbot应用中体现更为突出。传统的beam search算法在解码时常常会解出一些非常安全但是没有实际意义的response，类似于“呵呵呵”，“我认为是这样的”这里的话。本文的工作针对这一问题，提出了一种改进版的beam search算法，通过引入一个惩罚因子来影响排序结果，从而使得解码出的结果更加多样性。建议研究seq2seq或者尝试用它来解决一些问题的童鞋可以精读此文。本文来自Jiwei Li。</p>
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<h2 id="Dialogue-Learning-With-Human-In-The-Loop"><a href="#Dialogue-Learning-With-Human-In-The-Loop" class="headerlink" title="Dialogue Learning With Human-In-The-Loop "></a><a href="http://t.cn/Rf8XOcr" target="_blank" rel="external">Dialogue Learning With Human-In-The-Loop </a></h2><p>【对话系统】【在线学习】在线学习是chatbot在与人交互的过程中自动学习的一种方法，快速而且有效。本文给出了一种基于强化学习的在线交互学习方案，作者是Jiwei Li。建议研究或者做chatbot应用的童鞋可以好好研读此文。</p>

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