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Artificial Intelligence and Natural Language

Overview of attention for book
Cover of 'Artificial Intelligence and Natural Language'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language
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    Chapter 2 Smart Context Generation for Disambiguation to Wikipedia
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    Chapter 3 A Multi-feature Classifier for Verbal Metaphor Identification in Russian Texts
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    Chapter 4 Lemmatization for Ancient Languages: Rules or Neural Networks?
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    Chapter 5 Named Entity Recognition in Russian with Word Representation Learned by a Bidirectional Language Model
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    Chapter 6 Supervised Mover’s Distance: A Simple Model for Sentence Comparison
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    Chapter 7 Direct-Bridge Combination Scenario for Persian-Spanish Low-Resource Statistical Machine Translation
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    Chapter 8 Automatic Mining of Discourse Connectives for Russian
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    Chapter 9 Avoiding Echo-Responses in a Retrieval-Based Conversation System
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    Chapter 10 A Model-Free Comorbidities-Based Events Prediction in ICU Unit
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    Chapter 11 Explicit Semantic Analysis as a Means for Topic Labelling
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    Chapter 12 Four Keys to Topic Interpretability in Topic Modeling
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    Chapter 13 Cleaning Up After a Party: Post-processing Thesaurus Crowdsourced Data
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    Chapter 14 A Comparative Study of Publicly Available Russian Sentiment Lexicons
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    Chapter 15 Acoustic Features of Speech of Typically Developing Children Aged 5–16 Years
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    Chapter 16 Profiling the Age of Russian Bloggers
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    Chapter 17 Stierlitz Meets SVM: Humor Detection in Russian
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    Chapter 18 Interactive Attention Network for Adverse Drug Reaction Classification
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    Chapter 19 Modeling Propaganda Battle: Decision-Making, Homophily, and Echo Chambers
Attention for Chapter 19: Modeling Propaganda Battle: Decision-Making, Homophily, and Echo Chambers
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Chapter title
Modeling Propaganda Battle: Decision-Making, Homophily, and Echo Chambers
Chapter number 19
Book title
Artificial Intelligence and Natural Language
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-01204-5_19
Book ISBNs
978-3-03-001203-8, 978-3-03-001204-5
Authors

Alexander Petrov, Olga Proncheva, Petrov, Alexander, Proncheva, Olga

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Student > Bachelor 2 13%
Unspecified 1 6%
Student > Ph. D. Student 1 6%
Lecturer > Senior Lecturer 1 6%
Other 2 13%
Unknown 6 38%
Readers by discipline Count As %
Social Sciences 2 13%
Computer Science 2 13%
Unspecified 1 6%
Business, Management and Accounting 1 6%
Arts and Humanities 1 6%
Other 3 19%
Unknown 6 38%