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Natural Language Processing and Information Systems

29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy, June 25–27, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Amon Rapp

    1. University of Turin, Turin, Italy

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  2. Luigi Di Caro

    1. University of Turin, Turin, Italy

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  3. Farid Meziane

    1. University of Derby, Derby, UK

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  4. Vijayan Sugumaran

    1. Oakland University, Rochester, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14762)

Included in the following conference series:

Conference proceedings info: NLDB 2024.

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About this book

The two-volume proceedings set LNCS 14762 and 14763 constitutes the refereed proceedings of the 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, held in Turin, Italy, in June 25–27, 2024.

The 35 full papers, 26 short papers, 3 demo papers and 8 industry track papers included in these books were carefully reviewed and selected from 141 submissions. They focus on advancements and support studies related to languages previously underrepresented, such as Arabic, Romanian, Italian and Japanese languages.

Keywords

Table of contents (35 papers)

  1. Front Matter

    Pages i-xviii
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  2. Fine-Tuning BERT on Coarse-Grained Labels: Exploring Hidden States for Fine-Grained Classification

    • Aftab Anjum, Ralf Krestel
    Pages 1-15

  3. Studies on the Use of Large Language Models for the Automation of Business Processes in Enterprise Resource Planning Systems

    • Jonas Schnepf, Tuğranur Engin, Simon Anderer, Bernd Scheuermann
    Pages 16-31

  4. Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights

    • Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger
    Pages 32-46

  5. Text Role Classification in Scientific Charts Using Multimodal Transformers

    • Hye Jin Kim, Nicolas Lell, Ansgar Scherp
    Pages 47-61

  6. LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning

    • Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
    Pages 62-77

  7. Unveiling Depression on Social Media: Active Learning with Human-in-the-Loop Labeling for Mental Health Data Annotation and Analysis

    • Mohsinul Kabir, Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, Fatin Abrar Shams, Hasan Mahmud et al.
    Pages 78-92

  8. All-Words Pronunciation Estimation of Japanese Homographs Using Automatically Tagged Data

    • Taichiro Kobayashi, Kanako Komiya, Hiroyuki Shinnou
    Pages 93-105

  9. I’ve Got the “answer”!

    • Valeriya Goloviznina, Evgeny Kotelnikov
    Pages 106-120

  10. Improving DRS-to-Text Generation Through Delexicalization and Data Augmentation

    • Muhammad Saad Amin, Luca Anselma, Alessandro Mazzei
    Pages 121-136

  11. Large Language Models for Few-Shot Automatic Term Extraction

    • Shubhanker Banerjee, Bharathi Raja Chakravarthi, John Philip McCrae
    Pages 137-150

  12. Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction

    • Kotaro Nagayama, Shota Kato, Manabu Kano
    Pages 151-165

  13. Semi-supervised Named Entity Recognition for Low-Resource Languages Using Dual PLMs

    • Hailemariam Mehari Yohannes, Steven Lynden, Toshiyuki Amagasa, Akiyoshi Matono
    Pages 166-180

  14. Improved Models for Media Bias Detection and Subcategorization

    • Tim Menzner, Jochen L. Leidner
    Pages 181-196

  15. Grounding Toxicity in Real-World Events Across Languages

    • Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
    Pages 197-210

  16. Unveiling the Hate: Generating Faithful and Plausible Explanations for Implicit and Subtle Hate Speech Detection

    • Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata
    Pages 211-225

  17. The Influence of Iconicity in Transfer Learning for Sign Language Recognition

    • Keren Artiaga, Conor Lynch, Haithem Afli, Mohammed Hasanuzzaman
    Pages 226-240

  18. S\(^3\): A Simple Strong Sample-Effective Multimodal Dialog System

    • Elisei Rykov, Egor Malkershin, Alexander Panchenko
    Pages 241-255

  19. Body-Shaming Detection and Classification in Italian Social Media

    • Francesca Grasso, Alberto Valese, Marta Micheli
    Pages 256-270

  20. Adaptive Greedy Layer Pruning: Iterative Layer Pruning with Subsequent Model Repurposing

    • Tamás Ficsor, Gábor Berend
    Pages 271-284
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Other volumes

  1. Natural Language Processing and Information Systems

  2. Natural Language Processing and Information Systems

Editors and Affiliations

  • University of Turin, Turin, Italy

    Amon Rapp, Luigi Di Caro

  • University of Derby, Derby, UK

    Farid Meziane

  • Oakland University, Rochester, USA

    Vijayan Sugumaran

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