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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
  2. Altmetric Badge
    Chapter 1 Semantic Feature Aggregation for Gender Identification in Russian Facebook
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    Chapter 2 Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits
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    Chapter 3 Boosting a Rule-Based Chatbot Using Statistics and User Satisfaction Ratings
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    Chapter 4 Deep Learning for Acoustic Addressee Detection in Spoken Dialogue Systems
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    Chapter 5 Deep Neural Networks in Russian Speech Recognition
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    Chapter 6 Combined Feature Representation for Emotion Classification from Russian Speech
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    Chapter 7 Active Learning with Adaptive Density Weighted Sampling for Information Extraction from Scientific Papers
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    Chapter 8 Application of a Hybrid Bi-LSTM-CRF Model to the Task of Russian Named Entity Recognition
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    Chapter 9 Employing Wikipedia Data for Coreference Resolution in Russian
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    Chapter 10 Building Wordnet for Russian Language from Ru.Wiktionary
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    Chapter 11 Corpus of Syntactic Co-Occurrences: A Delayed Promise
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    Chapter 12 A Close Look at Russian Morphological Parsers: Which One Is the Best?
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    Chapter 13 Morpheme Level Word Embedding
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    Chapter 14 Comparison of Vector Space Representations of Documents for the Task of Information Retrieval of Massive Open Online Courses
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    Chapter 15 Interpretable Probabilistic Embeddings: Bridging the Gap Between Topic Models and Neural Networks
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    Chapter 16 Multi-objective Topic Modeling for Exploratory Search in Tech News
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    Chapter 17 A Deep Forest for Transductive Transfer Learning by Using a Consensus Measure
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    Chapter 18 ParaPhraser: Russian Paraphrase Corpus and Shared Task
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    Chapter 19 Effect of Semantic Parsing Depth on the Identification of Paraphrases in Russian Texts
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    Chapter 20 RuThes Thesaurus in Detecting Russian Paraphrases
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    Chapter 21 Knowledge-lean Paraphrase Identification Using Character-Based Features
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    Chapter 22 Paraphrase Detection Using Machine Translation and Textual Similarity Algorithms
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    Chapter 23 Character-Level Convolutional Neural Network for Paraphrase Detection and Other Experiments
Overall attention for this book and its chapters
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4 X users
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1 Wikipedia page

Citations

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Title
Artificial Intelligence and Natural Language
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-71746-3
ISBNs
978-3-31-971746-3, 978-3-31-971745-6
Editors

Andrey Filchenkov, Lidia Pivovarova, Jan Žižka

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 5 25%
Student > Master 5 25%
Researcher 2 10%
Student > Ph. D. Student 2 10%
Student > Bachelor 1 5%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Computer Science 9 45%
Linguistics 4 20%
Arts and Humanities 2 10%
Psychology 1 5%
Engineering 1 5%
Other 0 0%
Unknown 3 15%