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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 Effects of Training Data Size and Class Imbalance on the Performance of Classifiers
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    Chapter 2 SentiRusColl: Russian Collocation Lexicon for Sentiment Analysis
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    Chapter 3 An Approach to Inter-annotator Agreement Evaluation for the Named Entities Annotation Task at OpenCorpora
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    Chapter 4 Soft Estimates of User Protection from Social Engineering Attacks
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    Chapter 5 Retrieval of Visually Shared News
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    Chapter 6 Comparative Analysis of Scientific Papers Collections via Topic Modeling and Co-authorship Networks
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    Chapter 7 Experimental Comparison of Unsupervised Approaches in the Task of Separating Specializations Within Professions in Job Vacancies
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    Chapter 8 Usage of HMM-Based Speech Recognition Methods for Automated Determination of a Similarity Level Between Languages
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    Chapter 9 Prosodic Boundaries Prediction in Russian Using Morphological and Syntactic Features
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    Chapter 10 Binary Autoencoder for Text Modeling
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    Chapter 11 Bi-LSTM Model for Morpheme Segmentation of Russian Words
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    Chapter 12 An Approach to Abstractive Summarization for Norwegian Bokmål
Attention for Chapter 3: An Approach to Inter-annotator Agreement Evaluation for the Named Entities Annotation Task at OpenCorpora
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Chapter title
An Approach to Inter-annotator Agreement Evaluation for the Named Entities Annotation Task at OpenCorpora
Chapter number 3
Book title
Artificial Intelligence and Natural Language
Published by
Springer, Cham, November 2019
DOI 10.1007/978-3-030-34518-1_3
Book ISBNs
978-3-03-034517-4, 978-3-03-034518-1
Authors

Liliya Volkova, Victor Bocharov, Volkova, Liliya, Bocharov, Victor

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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