Vol-3270
urn:nbn:de:0074-3270-6

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

PLNnet-DS-2022
Doctoral Symposium on Natural Language Processing from the PLN.net network 2022

Proceedings of the Doctoral Symposium on Natural Language Processing from the PLN.net network 2022 (RED2018-102418-T)(PLNnet-DS-2022)
co-located with the XXXVIII edition of the International Conference of the Spanish Society for Natural Language Processing(SEPLN 2022)

A Coruña, Spain, September 21-23, 2022.

Edited by

María Teresa Martín-Valdivia *
María Dolores Molina-González *
Salud María Jiménez-Zafra *

* SINAI Research Group, Computer Science Department, Universidad de Jaén, Campus Las Lagunillas, E-23071, Jaén, Spain

Table of Contents

Preface
Summary: There were 8 papers submitted for peer-review to this Doctoral Symposium. All of these 8 papers were accepted for this volume.

Veracity vs. Reliability: Changing the Approach of Our Annotation Guideline 1-8
Alba Bonet-Jover
A Supervised Approach for Sentiment Lexicon Generation using Word Skipgrams 9-14
Javi Fernández
Acquisition and Exploitation of Cross-Lingual Knowledge 15-23
Iker García-Ferrero
Analysis, Detection and Mitigation of Biases in Deep Learning Language Models 24-30
Ismael Garrido-Muñoz
Communicative Intentions Annotation Scheme for Natural Language Processing Applications 31-39
María Miró Mestre
Teaching Administrative Law through its Textual Genres: Compilation, Annotation and Corpus Analysis 40-48
Sara Pistola Grille
From Automatic Metaphor Processing in Spanish to a Multilingual Perspective: Annotation, Systems, and Evaluation 49-57
Elisa Sánchez-Bayona
Using Word Embeddings for Immigrant and Refugee Stereotype Quantification in a Diachronic and Multilingual Setting 58-66
Danielly Sorato

2022-11-07: submitted by Salud María Jiménez-Zafra, metadata incl. bibliographic data published under Creative Commons CC0
2022-11-12: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|