Text, Speech, and Dialogue

1. Front Matter

   Pages i-xix

   PDF

2. Keynote Talks

   1. Front Matter

      Pages 1-1

      PDF

   2. Speech Processing and Prosody

      • Denis Jouvet

      Pages 3-15

3. Text

   1. Front Matter

      Pages 17-17

      PDF

   2. Using a Database of Multiword Expressions in Dependency Parsing

      • Tomáš Jelínek

      Pages 19-31

   3. Explicit Discourse Argument Extraction for German

      • Peter Bourgonje, Manfred Stede

      Pages 32-44

   4. Consonance as a Stylistic Feature for Authorship Attribution of Historical Texts

      • Lubomir Ivanov, Brandon Neilsen

      Pages 45-57

   5. Bidirectional LSTM Tagger for Latvian Grammatical Error Detection

      • Daiga Deksne

      Pages 58-68

   6. Methods for Assessing Theme Adherence in Student Thesis

      • Mikhail Tikhomirov, Natalia Loukachevitch, Boris Dobrov

      Pages 69-81

   7. Natural Language Analysis to Detect Parkinson’s Disease

      • P. A. Pérez-Toro, J. C. Vásquez-Correa, M. Strauss, J. R. Orozco-Arroyave, E. Nöth

      Pages 82-90

   8. Using Auto-Encoder BiLSTM Neural Network for Czech Grapheme-to-Phoneme Conversion

      • Markéta Jůzová, Jakub Vít

      Pages 91-102

   9. The FRENK Datasets of Socially Unacceptable Discourse in Slovene and English

      • Nikola Ljubešić, Darja Fišer, Tomaž Erjavec

      Pages 103-114

   10. KAS-term: Extracting Slovene Terms from Doctoral Theses via Supervised Machine Learning

       • Nikola Ljubešić, Darja Fišer, Tomaž Erjavec

       Pages 115-126

   11. A Self-organizing Feature Map for Arabic Word Extraction

       • Hassina Bouressace, János Csirik

       Pages 127-136

   12. Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER

       • Milan Straka, Jana Straková, Jan Hajič

       Pages 137-150

   13. On GDPR Compliance of Companies’ Privacy Policies

       • Nicolas M. Müller, Daniel Kowatsch, Pascal Debus, Donika Mirdita, Konstantin Böttinger

       Pages 151-159

   14. A Semi-automatic Structure Learning Method for Language Modeling

       • Vitor Pera

       Pages 160-170

   15. Coreference in English OntoNotes: Properties and Genre Differences

       • Berfin Aktaş, Tatjana Scheffler, Manfred Stede

       Pages 171-184

   16. The TransBank Aligner: Cross-Sentence Alignment with Deep Neural Networks

       • Ahmad Aghaebrahimian, Michael Ustaszewski, Andy Stauder

       Pages 185-196

   17. Exploiting Large Unlabeled Data in Automatic Evaluation of Coherence in Czech

       • Michal Novák, Jiří Mírovský, Kateřina Rysová, Magdaléna Rysová

       Pages 197-210

This book constitutes the proceedings of the 22nd International Conference on Text, Speech, and Dialogue, TSD 2019, held in Ljubljana, Slovenia, in September 2019. The 33 full papers presented in this volume were carefully reviewed and selected from 73 submissions. They were organized in topical sections named text and speech. The book also contains one invited talk in full paper length. 

• artificial intelligence
• automatic speech recognition
• classification
• computational linguistics
• databases
• information theory
• language model
• learning algorithms
• Natural Language Processing (NLP)
• neural networks
• ontologies
• semantic information
• semantics
• signal processing
• speech
• speech analysis
• speech perception
• speech processing
• speech recognition
• speech synthesis

• University of West Bohemia, Pilsen, Czech Republic

  Kamil Ekštein

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