Para más información sobre cada uno de los recursos y herramientas publicados, visite Recursos.


  • Navas-Loro, M.,  Rodríguez-Doncel, V. (2019). “Spanish corpora for sentiment analysis: a survey”. In: Language Resources and Evaluation. issn: 1574-0218. doi: 10.1007/s10579-019-09470-8. Link
  • Navas-Loro, M.,  Filtz, E., Rodríguez-Doncel, V., Polleres, A., Kirrane, S. (2019). “TempCourt: Evaluation of Temporal Taggers on a new Corpus of Court Decisions”. To be published in the Knowledge Engineering Review journal. Link to the resource
  • Navas-Loro, M.,  Rodríguez-Doncel, V. (2019). “Annotador: a Temporal Tagger for Spanish”. To be published in the Journal of Intelligent and Fuzzy Systems. Slides   Link to the tool


  • Filtz, E., Navas-Loro, M., Santos, C., Polleres, A., Kirrane, Events Matter: Extraction of Events from Court Decisions. In: Serena Villata, Jakub Harašta, Petr Křemen (eds) Frontiers in Artificial Intelligence and Applications, vol 334.  IOS Press. JURIX 2020. pp. 33 – 42. doi: 10.3233/FAIA200847. Link Website
  • Navas-Loro, M.,  Rodríguez-Doncel, V., Satoh, K., ContractFrames: Bridging the Gap Between Natural Language and Logics in Contract Law – In: Kojima K., Sakamoto M., Mineshima K., Satoh K. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2018. Lecture Notes in Computer Science, vol 11717. Springer, Cham. doi: 10.1007/978-3-030-31605-1_9. Link
  • Navas-Loro, M.,  Rodríguez-Doncel, V., Santana I., Fernández-Izquierdo, A., Sánchez, A., MAS: A Corpus of Tweets for Marketing in Spanish – The Semantic Web: ESWC 2018 Satellite Events, September 12-16, 2017. Ed. by Aldo Gangemi, Anna Lisa Gentile, Andrea Giovanni Nuzzolese,  Sebastian Rudolph, Maria Maleshkova, Heiko Paulheim, Jeff Z Pan and Mehwish Alam. Cham: Springer International Publishing, pp. 363–375. isbn: 978-3-319-98192-5. doi: 10.1007/978-3-319-98192-5_53. Link  Slides
  • Navas-Loro, M.,  Rodríguez-Doncel, V. , Santana I., Sánchez, A., Spanish Corpus for Sentiment Analysis towards Brands – Proceedings of Speech and Computer: 19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017. Ed. by Alexey Karpov, Rodmonga Potapova, and Iosif Mporas. Cham: Springer International Publishing, pp. 680–689. isbn: 978-3-319-66429-3. doi: 10.1007/978-3-319-66429-3_68. Link  Slides
  • Navas-Loro, M., Mining, Representation and Reasoning with Temporal Expressions in the Legal Domain. Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017. Link  Slides
  • M. N. Loro and J. Lacaille, Datamining turbofan engine performance to improve fuel efficiency. 2017 IEEE Aerospace Conference, Big Sky, MT, USA, 2017, pp. 1-8. doi: 10.1109/AERO.2017.7943699 Link
  • J. Lacaille and M. N. Loro, Data mining turbofan engine performance to improve fuel efficiency. 2016 Future Technologies Conference (FTC), San Francisco, CA, 2016, pp. 318-322. doi: 10.1109/FTC.2016.7821629. Link


  • Navas-Loro, M.,  Santos, C. (2018). Events in the legal domain: first impressions. In: Proceedings of the 2nd Workshop on Technologies for Regulatory Compliance co-located with the 31st International Conference on Legal Knowledge and Information Systems (JURIX 2018), Groningen, The Netherlands, December 12, 2018. Pp. 45–57. Link Slides Video
  • Navas-Loro, M. and Rodríguez-Doncel, V. (2017). OEG at TASS 2017: Spanish Sentiment Analysis of tweets at document level. Proceedings of TASS 2017: Workshop on Semantic Analysis at SEPLN (TASS 2017). Ed. by Julio Villena Román et al. Vol. 1896. CEUR Workshop Proceedings. Murcia, Spain: CEUR-WS, pp. 43–49. Link Slides
  • Navas-Loro, M. (2017). LawORDate: a Service for Distinguishing Legal References from Temporal Expressions. Proceedings of TeReCom 2017: Workshop on Technologies for Regulatory Compliance at JURIX (TeReCom 2017). Link Slides

Trabajos académicos

  • Tesis de doctorado (con Víctor Rodríguez-Doncel y Asunción Gómez-Pérez, Universidad Politécnica de Madrid) (2016- previsto 2020): Procesamiento de expresiones temporales en textos legales

  • Tesis de Fin de Máster (con Jesús Cardeñosa, Universidad Politécnica de Madrid):
    Navas Loro, M. (2016). Modelo de paráfrasis semántica de similitud de documentos (Tesis de Fin de Máster, Universidad Politécnica de Madrid)). Link

  • Proyecto Final (con Ahmed Kebaier, Laboratorios LAGA, Francia): Approximation Formulas for Option Pricing in Stochastic Volatility Models (2014).

  • Proyecto de Colaboración para la Beca de Excelencia de la Comunidad de Madrid (con José Ramón Dorronsoro, Universidad Autónoma de Madrid): Introducción a la Criptografía (2010).