[PDF] Top 20 Using deep learning for short text understanding
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Using deep learning for short text understanding
... a short text as search query may work well for popular queries but for unpopular queries, the search engine will most likely return some irrelevant results which acts as a noise to the short query ... See full document
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Unified Framework For Deep Learning Based Text Classification
... decades. Understanding useful insights is important from various perspectives such as business, forensics, social etc ...data. Text data is generated from various channels including web repositories, blogs, ... See full document
5
Text feature extraction based on deep learning: a review
... of deep learning is that these layers of features are not designed by human engineers, they are learned from data using a general purpose learning pro- cedure ...[1]. Deep ... See full document
12
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... in text intelligence applications as paraphrase detection, short answer grading and information ...merged using a simple machine learning model to predict text relatedness ...that ... See full document
9
Towards Efficient Framework for Semantic Query Search Engine in Large-Scale Data Collection
... codes using deep neural networks ...the deep neural network, the model has great expressive power in capturing the abstract and complex correlations between the words in a text, and hence the ... See full document
6
Semantic Hashing to Understanding short text using Neural Networks
... a Deep Recurrent Neural Network (DRNN) model associated with stacked denoising auto encoder (AE) to capture the semantics of the short ...effective learning strategy to capture useful features from ... See full document
6
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... Nowadays, text summarization has become an important issue to extract the required information within short ...extractive text summarization have been developed for summarizing English ...Bengali ... See full document
11
Deep Natural Language Understanding of News Text
... a text, given a knowledge base of linguistic and commonsense ...a short sentence (“The Boston of- fice ...commonsense understanding of the world (a person in the office located in Boston made the ... See full document
9
Semi supervised Clustering for Short Text via Deep Representation Learning
... deep neural network model to represent short sen- tences, and integrate it into a semi-supervised al- gorithm. Concretely, we extend the objective in the classical unsupervised k-means algorithm by adding a ... See full document
9
Language Understanding for Text based Games using Deep Reinforcement Learning
... strategies using convolu- tional neural networks, trained with a variant of Q-learning (Watkins and Dayan, ...use deep reinforcement learning for training, our work has important ...of ... See full document
11
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... dimensions using Ontology Web Language (OWL) and Resource Description Framework ...testing using 450,000 RDF statements and give outstanding performance ...created using classes of Web Ontology ... See full document
26
Deep Bayesian Learning and Understanding
... of deep models including deep unfolding (Chien and Lee, 2018), Bayesian RNN (Gal and Ghahramani, 2016; Chien and Ku, 2016), sequence-to-sequence learning (Graves et ...how deep Bayesian ... See full document
6
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... Journal of Theoretical and Applied Information Technology 15th December 2019.. ESTIMATION OF THE SUCCESS OF BITCOIN AS CRYPTOCURRENCY Jesús Álvarez Cedillo1, a, Teodoro Álvarez Sánchez2,[r] ... See full document
11
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... way using predictive ...The learning time of the predictive model is evaluated based on Time taken to build model, Kappa statistic, MAE, RMSE, RAE and Root Relative ...the learning rate of the ... See full document
14
A Pragmatic Supervised Learning Methodology of Hate Speech Detection in Social Media
... One of the difficuties in hate speech detection in text is the availability of dataset. Most of the researches done relied on privately collected datasets. [3] claimed to have collected the largest datasets for ... See full document
8
NLATool: an Application for Enhanced Deep Text Understanding
... given text during initial text ...Graph using rest API ...comprehensive text given by the Knowledge ...the text to further support the ...initial text, the user can click on the ... See full document
5
Multi-Emotion Extraction from Text Using Deep Learning
... by using a dictionary which contains affective words, (with a list of emotional words by feeling of them) and some without the use of such a ...sentences using various ontologies such as Word Net and ... See full document
6
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... Madurese batik is one of most popular batik besides Solo and Pekalongan because of its richness in color and its uniqueness in adopting plant morphology as its object. Unfortunately, many craftspersons who produce ... See full document
13
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... machine learning algorithms to detect zero-day ransomwares accurately with lower rate of ...machine learning classifiers only while a ransomware’s action runs encounters variable detection outcomes ... See full document
14
CLASSIFYING ARABIC TEXT USING DEEP LEARNING
... with deep generative models by working on a robust model called the SCVIS, this captured and showed the lower dimensional structure in single cell gene expression of the ... See full document
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