PLN-DS 2023
Doctoral Symposium on Natural Language Processing from the Proyecto ILENIA 2023

Table of Contents

• Preface
  Summary: There were 14 papers submitted for peer-review to this Doctoral Symposium. All of these 14 papers were accepted for this volume.

• Progress in the Modeling of Violent Messages in Spanish Social Networks 1-9
  Beatriz Botella Gil

• Towards An Artificial Intelligence (AI)-based Framework to Automatically Adapt Short Stories in Spanish into Easier and Accessible Versions 10-18
  Isam Diab

• Semantic Planning for Multilingual Fiction Generation 19-27
  Nayla Escribano

• Extraction of Stylometric Information from Spanish Documents 28-36
  César Espín Riofrío

• Automatically Designing Machine Learning Models out of Natural Language 37-44
  Ernesto Luis Estevanell Valladares

• Automatic Detection of Hope Speech 45-51
  Daniel García Baena

• Mitigating Biases in Deep Learning Models: A Path Towards Fairness and Inclusivity 52-59
  Ismael Garrido-Muñoz

• Commonsense Knowledge and Controllable Techniques for an Effective and Efficient Approach to Text Generation 60-67
  Iván Martínez Murillo

• Enriching Natural Language Processing Systems with Semantic-Pragmatic Information through Communicative Intentions 68-76
  María Miró Maestre

• Identification of Complex Words in the Academic Domain in Spanish 77-85
  Jenny Ortiz Zambrano

• Automated Media Bias Detection: Challenges and Opportunities 86-94
  Francisco Javier Rodrigo Ginés

• Exploring Readability Assessment and Text Simplification for Science Documents within a Multilingual Educational Context 95-103
  Suna Şeyma Uçar

• Entity Modelling through Ontologies and Large Language Models 104-110
  Fabio Antonio Yáñez Romero

• Multilingual Information Extraction in Clinical Texts Using Deep Learning Approaches 111-119
  Elena Zotova