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Natural Language Processing and Information Systems

26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Elisabeth Métais

    1. Conservatoire National des Arts et Métiers, Paris, France

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  2. Farid Meziane

    1. University of Derby, Derby, UK

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  3. Helmut Horacek

    1. German Research Center for Artificial Intelligence, Saarbrücken, Germany

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  4. Epaminondas Kapetanios

    1. University of Hertfordshire, Hatfield, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12801)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: NLDB 2021.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xiv
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  2. The Role of Learning

    1. Front Matter

      Pages 1-1
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    2. You Can’t Learn What’s Not There: Self Supervised Learning and the Poverty of the Stimulus

      • Csaba Veres, Jennifer Sampson
      Pages 3-14

    3. Scaling Federated Learning for Fine-Tuning of Large Language Models

      • Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren
      Pages 15-23

    4. Overcoming the Knowledge Bottleneck Using Lifelong Learning by Social Agents

      • Sergei Nirenburg, Marjorie McShane, Jesse English
      Pages 24-29

  3. Methodological Approaches

    1. Front Matter

      Pages 31-31
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    2. Word Embedding-Based Topic Similarity Measures

      • Silvia Terragni, Elisabetta Fersini, Enza Messina
      Pages 33-45

    3. Mixture Variational Autoencoder of Boltzmann Machines for Text Processing

      • Bruno Guilherme Gomes, Fabricio Murai, Olga Goussevskaia, Ana Paula Couto da Silva
      Pages 46-56

    4. A Modular Approach for Romanian-English Speech Translation

      • Andrei-Marius Avram, Vasile Păiş, Dan Tufiş
      Pages 57-63

    5. NumER: A Fine-Grained Numeral Entity Recognition Dataset

      • Thanakrit Julavanich, Akiko Aizawa
      Pages 64-75

    6. Cross-Domain Transfer of Generative Explanations Using Text-to-Text Models

      • Karl Fredrik Erliksson, Anders Arpteg, Mihhail Matskin, Amir H. Payberah
      Pages 76-89

  4. Semantic Relations

    1. Front Matter

      Pages 91-91
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    2. Virus Causes Flu: Identifying Causality in the Biomedical Domain Using an Ensemble Approach with Target-Specific Semantic Embeddings

      • Raksha Sharma, Girish Palshikar
      Pages 93-104

    3. Multilevel Entity-Informed Business Relation Extraction

      • Hadjer Khaldi, Farah Benamara, Amine Abdaoui, Nathalie Aussenac-Gilles, EunBee Kang
      Pages 105-118

    4. The Importance of Character-Level Information in an Event Detection Model

      • Emanuela Boros, Romaric Besançon, Olivier Ferret, Brigitte Grau
      Pages 119-131

  5. Classification

    1. Front Matter

      Pages 133-133
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    2. Sequence-Based Word Embeddings for Effective Text Classification

      • Bruno Guilherme Gomes, Fabricio Murai, Olga Goussevskaia, Ana Paula Couto da Silva
      Pages 135-146

    3. BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages

      • Krishanu Maity, Sriparna Saha
      Pages 147-155

    4. Multiword Expression Features for Automatic Hate Speech Detection

      • Nicolas Zampieri, Irina Illina, Dominique Fohr
      Pages 156-164

    5. Semantic Text Segment Classification of Structured Technical Content

      • Julian Höllig, Philipp Dufter, Michaela Geierhos, Wolfgang Ziegler, Hinrich Schütze
      Pages 165-177
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About this book

This book constitutes the refereed proceedings of the 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, held online in July 2021.

The 19 full papers and 14 short papers were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: role of learning; methodological approaches; semantic relations; classification; sentiment analysis; social media; linking documents; multimodality; applications.

Editors and Affiliations

  • Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

  • University of Derby, Derby, UK

    Farid Meziane

  • German Research Center for Artificial Intelligence, Saarbrücken, Germany

    Helmut Horacek

  • University of Hertfordshire, Hatfield, UK

    Epaminondas Kapetanios

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