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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 5: Named Entity Recognition in Russian with Word Representation Learned by a Bidirectional Language Model
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Chapter title
Named Entity Recognition in Russian with Word Representation Learned by a Bidirectional Language Model
Chapter number 5
Book title
Artificial Intelligence and Natural Language
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-01204-5_5
Book ISBNs
978-3-03-001203-8, 978-3-03-001204-5

Georgy Konoplich, Evgeniy Putin, Andrey Filchenkov, Roman Rybka

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Bachelor 1 33%
Lecturer 1 33%
Readers by discipline Count As %
Computer Science 3 100%