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Artificial Intelligence and Natural Language

6th Conference, AINL 2017, St. Petersburg, Russia, September 20–23, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Andrey Filchenkov

    1. ITMO University, St. Petersburg, Russia

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    You can also search for this editor in PubMed   Google Scholar

  2. Lidia Pivovarova

    1. University of Helsinki, Helsinki, Finland

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    You can also search for this editor in PubMed   Google Scholar

  3. Jan Žižka

    1. Mendel University , Brno, Czech Republic

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 789)

Included in the following conference series:

Conference proceedings info: AINL 2017.

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Table of contents (24 papers)

  1. Front Matter

    Pages I-XI
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  2. Social Interaction Analysis

    1. Front Matter

      Pages 1-1
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    2. Semantic Feature Aggregation for Gender Identification in Russian Facebook

      • Polina Panicheva, Aliia Mirzagitova, Yanina Ledovaya
      Pages 3-15

    3. Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits

      • Arseny Moskvichev, Marina Dubova, Sergey Menshov, Andrey Filchenkov
      Pages 16-26

    4. Boosting a Rule-Based Chatbot Using Statistics and User Satisfaction Ratings

      • Octavia Efraim, Vladislav Maraev, João Rodrigues
      Pages 27-41

  3. Speech Processing

    1. Front Matter

      Pages 43-43
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    2. Deep Learning for Acoustic Addressee Detection in Spoken Dialogue Systems

      • Aleksei Pugachev, Oleg Akhtiamov, Alexey Karpov, Wolfgang Minker
      Pages 45-53

    3. Deep Neural Networks in Russian Speech Recognition

      • Nikita Markovnikov, Irina Kipyatkova, Alexey Karpov, Andrey Filchenkov
      Pages 54-67

    4. Combined Feature Representation for Emotion Classification from Russian Speech

      • Oxana Verkholyak, Alexey Karpov
      Pages 68-73

  4. Information Extraction

    1. Front Matter

      Pages 75-75
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    2. Active Learning with Adaptive Density Weighted Sampling for Information Extraction from Scientific Papers

      • Roman Suvorov, Artem Shelmanov, Ivan Smirnov
      Pages 77-90

    3. Application of a Hybrid Bi-LSTM-CRF Model to the Task of Russian Named Entity Recognition

      • The Anh Le, Mikhail Y. Arkhipov, Mikhail S. Burtsev
      Pages 91-103

  5. Web-Scale Data Processing

    1. Front Matter

      Pages 105-105
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    2. Employing Wikipedia Data for Coreference Resolution in Russian

      • Ilya Azerkovich
      Pages 107-112

    3. Building Wordnet for Russian Language from Ru.Wiktionary

      • Yuliya Chernobay
      Pages 113-120

    4. Corpus of Syntactic Co-Occurrences: A Delayed Promise

      • Eduard S. Klyshinsky, Natalia Y. Lukashevich
      Pages 121-127

  6. Computation Morphology and Word Embeddings

    1. Front Matter

      Pages 129-129
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    2. A Close Look at Russian Morphological Parsers: Which One Is the Best?

      • Evgeny Kotelnikov, Elena Razova, Irina Fishcheva
      Pages 131-142

    3. Morpheme Level Word Embedding

      • Ruslan Galinsky, Tatiana Kovalenko, Julia Yakovleva, Andrey Filchenkov
      Pages 143-155

    4. Comparison of Vector Space Representations of Documents for the Task of Information Retrieval of Massive Open Online Courses

      • Julius Klenin, Dmitry Botov, Yuri Dmitrin
      Pages 156-164
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  1. Artificial Intelligence and Natural Language

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About this book

This book constitutes the refereed proceedings of the 6th Conference on Artificial Intelligence and Natural Language, AINL 2017, held in St. Petersburg, Russia, in September 2017.

The 13 revised full papers, 4 revised short papers papers were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on social interaction analysis, speech processing, information extraction, Web-scale data processing, computation morphology and word embedding, machine learning. The volume also contains 6 papers participating in the Russian paraphrase detection shared task.

Editors and Affiliations

  • ITMO University, St. Petersburg, Russia

    Andrey Filchenkov

  • University of Helsinki, Helsinki, Finland

    Lidia Pivovarova

  • Mendel University , Brno, Czech Republic

    Jan Žižka

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