CTTS 2021
Current Trends in Text Simplification

Table of Contents

• Preface
  Summary: 6 papers were accepted for this volume.

Invited Talks

• What if the whole is greater than the sum of the parts? Modelling Complex (Multiword) Expressions (invited paper) 1-10
  Aline Villavicencio
• Human-Computer Interaction and Automatic Text Simplification: Understanding the Perspective of Deaf and Hard of Hearing Users (abstract) 11-11
  Matt Huenerfauth

Regular papers

• Gradient Boosted Trees for Identification of Complex Words in Context 12-28
  Raksha Agarwal , Niladri Chatterjee
• Exploration of Spanish Word Embeddings for Lexical Simplification 29-41
  Rodrigo Alarcon , Lourdes Moreno , Paloma Martínez
• DEPSYM: A Lightweight Syntactic Text Simplification Approach using Dependency Trees 42-56
  Niladri Chatterjee , Raksha Agarwal
• The Role of Text Simplification Operations in Evaluation 57-69
  Laura Vásquez-Rodríguez , Matthew Shardlow , Piotr Przybyła , Sophia Ananiadou
• Linguistic Capabilities for a Checklist-based evaluation in Automatic Text Simplification 70-83
  Oscar M. Cumbicus-Pineda , Itziar Gonzalez-Dios , Aitor Soroa
• When the Scale is Unclear – Analysis of the Interpretation of Rating Scales in Human Evaluation of Text Simplification 84-95
  Regina Stodden