Dr. Luis Adrián Cabrera Diego

Qualifications
  • PhD (Computer Science), Université d’Avignon et des Pays de Vaucluse, 2015
  • B.Eng. (Computer Engineering), Universidad Nacional Autónoma de México, 2011
Research Contact

Natural Language Processing, Text Mining, Machine Learning

Orcid id
Google Scholar
DBLP
ResearchGate

Dr. Luis Adrián Cabrera Diego
Department of Computer Science
Edge Hill University
Ormskirk
Lancashire
L39 4QP

Phone: +44 1695 584138
Email: Luis Adrián Cabrera Diego
Office: THF10

Bio

Luis Adrián Cabrera Diego is a post-doctoral researcher in the Horizon 2020 project CROSSMINER. His research focuses on natural language processing, text mining and machine learning. He has worked on subjects like terminology extraction and validation, ranking of CV/résumés, automatic evaluation of summaries, creation of textual corpora, among others. He holds a PhD in Computer Science from the Université d’Avignon et des Pays de Vaucluse, France and a B.Eng. in Computer Engineering from the Universidad Nacional Autónoma de México (UNAM). Before joining Edge Hill University, he worked as a temporal lecturer in France, as a research assistant in El Colegio de México (Mexico) and as a research assistant in the Grupo de Ingeniería Lingüística, UNAM (Mexico).

External Academic Activities

Reviewer in conferences:
  • CORIA 2017
  • Research Publications

    Peer reviewed Journal Papers:
  • Cabrera-Diego, L.A. and Torres-Moreno, J.-M. 2018. SummTriver: A new trivergent model to evaluate summaries automatically without human references. Data & Knowledge Engineering. 113, (2018), 184–197. DOI:https://doi.org/10.1016/j.datak.2017.09.001.
  • Moreno Jiménez, L.G., Castro Sánchez, N.A., Torres-Moreno, J.-M., Cabrera-Diego, L.A., González-Gallardo, C.-E., Iturbe Herrera, A., Nieto Nieto, K. and Gómez Flores, A.M. 2016. Creación y clasificación de un corpus criminológico en español usando características lingüísticas superficiales. Research in Computing Science. 124, (2016), 107–118.
  • Peer reviewed Conference Papers:
  • Cabrera-Diego, L.A., Torres-Moreno, J.-M. and Durette, B. 2016. Evaluating Multiple Summaries Without Human Models: A First Experiment with a Trivergent Model. Natural Language Processing and Information Systems. Proceedings of the 21st International conference on the Application of Natural Language to Information Systems (NLDB 2016) (Manchester, UK, 2016), 91–101.
  • Arroyo-Fernández, I., Torres-Moreno, J.-M., Sierra, G. and Cabrera-Diego, L.A. 2016. Automatic Text Summarization by Non-Topic Relevance Estimation. 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR 2016) (Porto, Portugal, 2016), 89–100.
  • Cabrera-Diego, L.A., Durette, B., Lafon, M., Torres-Moreno, J.-M. and El-Bèze, M. 2015. How Can We Measure the Similarity Between Résumés of Selected Candidates for a Job? Proceedings of the 11th International Conference on Data Mining (DMIN’15) (Las Vegas, USA, 2015), 99–106.
  • Cabrera-Diego, L.A., Torres-Moreno, J.-M. and El-Bèze, M. 2013. SegCV : traitement efficace de CV avec analyse et correction d’erreurs. Actes de Traitement Automatique des Langues Naturelles (TALN) (Les Sables d’Olonne, France, 2013), 707–714.
  • Vivaldi, J., Cabrera-Diego, L.A., Sierra, G. and Pozzi, M. 2012. Using Wikipedia to Validate the Terminology found in a Corpus of Basic Textbooks. 8th Language Resources and Evaluation Conference (LREC) (Istanbul, Turkey, 2012), 3820–3827.
  • da Cunha, I., Torres-Moreno, J.-M., Sierra, G., Cabrera-Diego, L.A., Castro Rolón, B.G. and Rolland Bartilotti, J.M. 2011. The RST Spanish Treebank On-line Interface. Recent Advances in Natural Language Processing(RANLP) (Hissar, Bulgaria, 2011), 698–703.
  • Cabrera-Diego, L.A., Sierra, G., Vivaldi, J. and Pozzi, M. 2011. Using Wikipedia to Validate Term Candidates for the Mexican Basic Scientific Vocabulary. Proceedings of the First International Conference on Terminology, Languages, and Content Resources (LaRC) (Seoul, South Korea, 2011), 76–85.
  • I. Korkontzelos and S. Manandhar, 2010. Can Recognising Multiword Expressions Improve Shallow Parsing? In Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2010), Los Angeles, California.
  • Peer reviewed workshop papers:
  • Bagnato, A. et al. 2018. Developer-Centric Knowledge Mining from Large Open-Source Software Repositories (CROSSMINER). Software Technologies: Applications and Foundations (Marburg, Germany, 2018), 375–384.
  • Theses:
  • Cabrera-Diego, L.A. 2015. Automatic Methods for Assisted Recruitment. PhD Thesis, Université d’Avignon et des Pays de Vaucluse.
  • Cabrera-Diego, L.A. 2011TF-IDF para la obtención automática de términos y su validación mediante Wikipedia (TF-IDF for the automatic extraction of terms and their validation through Wikipedia) [in Spanish]. B.Eng. Thesis, Facultad de Ingeniería, UNAM.
  • Last updated on Last updated on Was this page helpful? Yes NoThanks for your feedback!Please tell us more:
    Share