Рекурсивная нейронная сеть

method ID: recursiveneuralnetwork

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Publication: TIPSTER (2013)

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In this paper, we present a recursive neural network (RNN) model that works on a syn- tactic tree. Our model differs from previous RNN models in that the model allows …...

34678

A Neural Network for Factoid Question Answering over Paragraphs

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Text classification methods for tasks like factoid question answering typi- cally use manually defined string match- ing rules or bag of words representa- tions. These methods are ineffective when question …...

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An Empirical Study on the Effect of Negation Words on Sentiment

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Negation words, such as no and not, play a fundamental role in modifying sentiment of textual expressions. We will refer to a negation word as the negator and the text …...

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Political Ideology Detection Using Recursive Neural Networks

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An individual’s words often reveal their po- litical ideology. Existing automated tech- niques to identify ideology from text focus on bags of words or wordlists, ignoring syn- tax. Taking inspiration …...

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Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling

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AbstractEstimating similarities at different levels of linguistic units, such as words, sub-phrases and phrases, is helpful for measuring semantic similarity of an entire bilingual phrase. In this paper, we propose …...

3716

Neural Discourse Structure for Text Categorization

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The Dabblers at SemEval-2018 Task 2: Multilingual Emoji Prediction

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Transition-based Neural RST Parsing with Implicit Syntax Features

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AbstractSyntax has been a useful source of information for statistical RST discourse parsing. Under the neural setting, a common approach integrates syntax by a recursive neural network (RNN), requiring discrete …...

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JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets

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