博文
- [读论文]---089 在隐形车联网上的出租车驾驶行文分析：一个社交
- Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: ASocial Influence Perspective 在隐形车联网上的出租车驾驶行文分析：一个社交网络视角 With recentadvances in mobile and sensor technologies, a large amount of efforts have beenmade on developing intelli ...
- [读论文]---088 不是所有的神经（网络）嵌入都是天生平等的
- Not All Neural Embeddings are Born Equal 不是所有的神经（网络）嵌入都是天生平等的 Abstract Neural languagemodels learn word representations that capture rich linguistic and conceptualinformation. Here we investigate the embeddings learned by neural machinetranslatio ...
- [读论文]---087 文本分类的清晰和模糊的句法特征
- Explicit and Implicit Syntactic Features for Text Classification 文本分类的清晰和模糊的句法特征 Abstract Syntactic featuresare useful for many text classification tasks. Among these, tree kernels(Collins and Duffy, 2001) have been perhaps the most robust and effecti ...
- [读论文]---086 为什么一个乘积的混合包含了某个混合的乘积？
- When Does a Mixture of Products Contain a Product of Mixtures? 为什么一个乘积的混合包含了某个混合的乘积？（搞不懂） Abstract We deriverelations between theoretical properties of restricted Boltzmann machines(RBMs), popular machine learning models which form the buil ...
- [读论文]---085 词和短语的分布式表示以及他们的合成
- Distributed representations of words and phrases and theircompositionality 词和短语的分布式表示以及他们的合成 Abstract The recentlyintroduced continuous Skip-gram model is an efficient method for learninghigh-quality distributed vector representations that capture a ...
- [读论文]---084 基于神经网络的序列-序列学习
- Sequence to Sequence Learning with Neural Networks 基于神经网络的序列 - 序列学习 Deep NeuralNetworks (DNNs) are powerful models that have achieved excellent performance ondifficult learning tasks. Although DNNs work well whenever large labeledtraining sets are av ...
- [读论文]---083 通过标齐和翻译的联合学习实现神经机器翻译
- NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE 通过标齐和翻译的联合学习实现神经机器翻译 ABSTRACT Neural machinetranslation is a recently proposed approach to machine translation. Unlike thetraditional statistical machine translation, the neura ...
- [读论文]---082 卷积神经网络的最新进展
- Recent Advances in Convolutional Neural Networks 卷积神经网络的最新进展 Abstract—In thelast few years, deep learning has led to very good performance on a variety ofproblems, such as visual recognition, speech recognition and natural languageprocessing. Among differen ...
- [读论文]---081 匹配自然语言句子的卷积神经网络结构
- Convolutional Neural Network Architectures for Matching NaturalLanguage Sentences 匹配自然语言句子的卷积神经网络结构 Abstract Semantic matchingis of central importance to many natural language tasks . A successfulmatching algorithm needs to adequately model the int ...
- [读论文]---080 基于深度卷积神经网络的短文本情感分析
- Deep Convolutional Neural Networks for Sentiment Analysis of ShortTexts 基于深度卷积神经网络的短文本情感分析 Abstract Sentiment analysisof short texts such as single sentences and Twitter messages is challengingbecause of the limited contextual information ...
