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Text, Speech, and Dialogue

26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Kamil Ekštein

    1. University of West Bohemia, Pilsen, Czech Republic

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  2. František Pártl

    1. University of West Bohemia, Pilsen, Czech Republic

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  3. Miloslav Konopík

    1. University of West Bohemia, Pilsen, Czech Republic

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14102)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: TSD 2023.

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About this book

This book constitutes the refereed proceedings of the 26th International Conference on Text, Speech, and Dialogue, TSD 2023, held in Pilsen, Czech Republic, during September 4–6, 2023.

The 31 full papers presented together with the abstracts of 3 keynote talks were carefully reviewed and selected from 64 submissions. The conference attracts researchers not only from Central and Eastern Europe but also from other parts of the world. One of its goals has always been bringing together NLP researchers with various interests from different parts of the world and promoting their cooperation. One of the ambitions of the conference is, not only to deal with dialogue systems but also to improve dialogue among researchers in areas of NLP, i.e., among the “text” and the “speech” and the “dialogue” people.


Keywords

Table of contents (31 papers)

  1. Front Matter

    Pages i-xxx
    Download chapter PDF

  2. Text

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Japanese How-to Tip Machine Reading Comprehension by Multi-task Learning Based on Generative Model

      • Xiaotian Wang, Tingxuan Li, Takuya Tamura, Shunsuke Nishida, Fuzhu Zhu, Takehito Utsuro
      Pages 3-14

    3. One Model to Rule Them All: Ranking Slovene Summarizers

      • Aleš Žagar, Marko Robnik-Šikonja
      Pages 15-24

    4. Searching for Reasons of Transformers’ Success: Memorization vs Generalization

      • František Trebuňa, Kristína Szabová, Ondřej Bojar
      Pages 25-32

    5. A Dataset and Strong Baselines for Classification of Czech News Texts

      • Hynek Kydlíček, Jindřich Libovický
      Pages 33-44

    6. Resolving Hungarian Anaphora with ChatGPT

      • Noémi Vadász
      Pages 45-57

    7. Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines

      • György Orosz, Gergő Szabó, Péter Berkecz, Zsolt Szántó, Richárd Farkas
      Pages 58-69

    8. ParaDiom – A Parallel Corpus of Idiomatic Texts

      • Gregor Donaj, Špela Antloga
      Pages 70-81

    9. Measuring Sentiment Bias in Machine Translation

      • Kai Hartung, Aaricia Herygers, Shubham Vijay Kurlekar, Khabbab Zakaria, Taylan Volkan, Sören Gröttrup et al.
      Pages 82-93

    10. Mono- and Multilingual GPT-3 Models for Hungarian

      • Zijian Győző Yang, László János Laki, Tamás Váradi, Gábor Prószéky
      Pages 94-104

    11. The Unbearable Lightness of Morph Classification

      • Vojtěch John, Zdeněk Žabokrtský
      Pages 105-115

    12. A German Parallel Clausal Coordinate Ellipsis Corpus that Aligns Sentences from the TüBa-D/Z Treebank with Reconstructed Canonical Forms

      • Denis Memmesheimer, Karin Harbusch
      Pages 116-128

  3. Speech

    1. Front Matter

      Pages 129-129
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    2. Identifying Subjects Wearing a Mask from the Speech by Means of Encoded Speech Representations

      • José Vicente Egas-López, Gábor Gosztolya
      Pages 131-140

    3. Impact of Including Pathological Speech in Pre-training on Pathology Detection

      • Tobias Weise, Andreas Maier, Kubilay Can Demir, Paula Andrea Pérez-Toro, Tomas Arias-Vergara, Björn Heismann et al.
      Pages 141-153

    4. Morphological Tagging and Lemmatization of Spoken Corpora of Czech

      • Tomáš Jelínek
      Pages 154-163

    5. HATS: An Open Data Set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics

      • Thibault Bañeras-Roux, Jane Wottawa, Mickael Rouvier, Teva Merlin, Richard Dufour
      Pages 164-175

    6. Online Speaker Diarization Using Optimized SE-ResNet Architecture

      • Frantisek Kynych, Jindrich Zdansky, Petr Cerva, Lukas Mateju
      Pages 176-187

    7. CML-TTS: A Multilingual Dataset for Speech Synthesis in Low-Resource Languages

      • Frederico S. Oliveira, Edresson Casanova, Arnaldo Candido Junior, Anderson S. Soares, Arlindo R. Galvão Filho
      Pages 188-199
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Other volumes

  1. Text, Speech, and Dialogue

Editors and Affiliations

  • University of West Bohemia, Pilsen, Czech Republic

    Kamil Ekštein, František Pártl, Miloslav Konopík

Bibliographic Information

  • Book Title: Text, Speech, and Dialogue

  • Book Subtitle: 26th International Conference, TSD 2023, Pilsen, Czech Republic, September 4–6, 2023, Proceedings

  • Editors: Kamil Ekštein, František Pártl, Miloslav Konopík

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-40498-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-40497-9Published: 05 August 2023

  • eBook ISBN: 978-3-031-40498-6Published: 22 August 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXX, 362

  • Number of Illustrations: 4 b/w illustrations, 67 illustrations in colour

  • Topics: Artificial Intelligence

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