[PDF] Top 20 Learning Generic Sentence Representations Using Convolutional Neural Networks
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Learning Generic Sentence Representations Using Convolutional Neural Networks
... the sentence encoder (Kalchbrenner et ...for learning generic sentence representations within the framework of encoder-decoder models proposed by Sutskever et ...input sentence, ... See full document
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Deep Learning as a Frontier of Machine Learning: A Review
... through learning from the lower level by exploiting the hierarchical exploratory ...immediate representations of principal components and removing redundancies in representation through derived layered ... See full document
9
Impact of Earnings per Share on Market Price of Share with Special Reference to Selected Companies Listed on NSE
... better representations and create models to learn these representations from large-scale unlabelled ...the representations are inspired by advances in neuroscience and are loosely based on ... See full document
5
Multi Perspective Sentence Similarity Modeling with Convolutional Neural Networks
... tributed representations and neural network archi- ...volutional neural networks in a multitask setting, where their model is trained jointly for multiple NLP tasks with shared ...a ... See full document
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Relating Simple Sentence Representations in Deep Neural Networks and the Brain
... between sentence representations learned by deep learning networks and those encoded by the brain; (2) is there any correspondence between hidden layer activations in these deep models and ... See full document
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Dependency based Convolutional Neural Networks for Sentence Embedding
... Powerful as it is, structural information still does not fully cover sequential information. Also, pars- ing errors (which are common especially for in- formal text such as online reviews) directly affect DCNN ... See full document
6
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
... this generic architecture on many tasks at once, to obtain a universal multilingual and -modal representation (see illustration in Figure ...on representations of fixed-size, independently of the length of ... See full document
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A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification
... distributed representations of words by first converting the tokens comprising each sen- tence into a vector, forming a matrix to be used as input ...deep learning models for text classification will ... See full document
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Emotion analysis of Arabic tweets using deep learning approach
... social networks have become something ...without using a lot of ...deep Convolutional Neural Networks (CNN) trained on top of trained word vectors specifically on our dataset for ... See full document
12
Deep CNN with Residual Connections and Range Normalization for Clinical Text Classification
... Deep learning has achieved remarkable performance in many classification tasks such as image processing and computer ...deep learning techniques have found their way into natural language processing tasks ... See full document
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Convolutional Neural Networks for Sentence Classification
... tasks. Learning task-specific vectors through fine-tuning results in further ...deep learning model perform well on a va- riety of tasks—including tasks that are very dif- ferent from the original task for ... See full document
6
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking
... distributed representations for phrases and even sentences by training models using different structures (Collobert and Weston, 2008; Socher et ...2013). Convolutional Neural Networks ... See full document
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Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks
... Although there are proposed methods for sentence segmentation of Portuguese datasets (Silla Jr. and Kaestner, 2004; Batista and Mamede, 2011; L´opez and Pardo, 2015), none of them are used for transcriptions ... See full document
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Team Bertha von Suttner at SemEval 2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network
... Batch Normalization (BN) is a method for re- ducing internal covariate shift in neural networks (Ioffe and Szegedy, 2015). BN normalizes the input distribution by subtracting the batch mean and dividing by ... See full document
5
Neural Sentiment Classification with User and Product Attention
... Document-level sentiment classification aims to predict user’s overall sentiment in a doc- ument about a product. However, most of existing methods only focus on local text in- formation and ignore the global user pref- ... See full document
10
An Approach to Classify Heritage Sites Architecture Using Convolution Neural Networks
... CNNs have been introduced many years ago but become popular more recently. In one hand, the fast growth of affordable computing power, especially graphical processing units (GPUs), and the diffusion of large datasets of ... See full document
6
Unified Framework For Deep Learning Based Text Classification
... Deep learning models are based on artificial neural networks, which are inspired by biological brain model made of ...deep learning architecture has three components namely input variables, ... See full document
5
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
... In this work, by leveraging the recent study of CSC, we aim to provide a new perspec- tive on CNN, leading to a clear and profound theoretical understanding of this scheme, along with new insights. Embarking from the ... See full document
52
CloudBridge Waste Segregator Automation using Machine Learning
... are using images of garbage and classifying it to a particular recycling material ...captured using the camera is classified based on CNN algorithm which uses TensorFlow ...By using the ... See full document
5
Continual Learning for Sentence Representations Using Conceptors
... Distributed representations of sentences have become ubiquitous in natural language pro- cessing ...continual learning scenario for sentence rep- resentations: Given a sequence of corpora, we aim to ... See full document
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