2020

  1. P. Báez, F. Villena, M. Rojas, M. Durán, and J. Dunstan The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish, In Proceedings of the 3rd Clinical Natural Language Processing Workshop, November, 291-300, 2020. DOI:10.18653/v1/2020.clinicalnlp-1.32 (pdf)

  2. J. Diaz, B. Poblete, and F. Bravo-Marquez An Integrated Model for Textual Social Media Data with Spatio-Temporal Dimensions, In Information Processing & Management, Volume 57, Issue 5, 2020. DOI:10.1016/j.ipm.2020.102219 (pdf)

  3. D.G. Trye, A.S. Calude, F. Bravo-Marquez, and T.T. Keegan Hybrid Hashtags: #YouKnowYoureAKiwiWhen your Tweet contains Māori and English, In Frontiers in Artificial Intelligence, section Language and Computation Volume 3, Article 15, April 2020. DOI: 10.3389/frai.2020.00015. (pdf|supplementary Material)

  4. P. Badilla, F. Bravo-Marquez, and J. Pérez WEFE: The Word Embeddings Fairness Evaluation Framework In Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan. Pages 430-436. DOI:10.24963/ijcai.2020/60. Acceptance rate: 12.6%. (pdf),(code).

  5. The Logical Expressiveness of Graph Neural Networks Pablo Barceló, Egor V. Kostylev, Mikael Monet, Jorge Pérez, Juan Reutter and Juan-Pablo Silva, ICLR 2020 (talk, slides, poster)

  6. Spanish Pre-Trained BERT Model and Evaluation Data Jose Cañete, Gabriel Chaperon, Rodrigo Fuentes, Jou-Hui Ho, Hojin Kang and Jorge Pérez PML4DC @ ICLR 2020 (talk, slides, code)

  7. Predicting Unplanned Readmissions with Highly Unstructured Data Constanza Fierro, Jorge Pérez, and Javier Mora, AI4AH @ ICLR 2020.

2019

  1. Jorge Pérez, Javier Marinković and Pablo Barceló, On the Turing Completeness of Modern Neural Network Architectures, ICLR 2019. (pdf) (poster)
  2. Aymé Arango, Jorge Pérez, Barbara Poblete , Hate Speech Detection is Not as Easy as You May Think: A Closer Look at Model Validation, SIGIR 2019. (pdf)
  3. Pablo Barceló, Nelson Higuera, Jorge Pérez and Bernardo Subercaseaux, Expressiveness of Matrix and Tensor Query Languages in terms of ML Operators, DEEM @ SIGMOD 2019. (pdf) (slides)

  4. F. Bravo-Marquez, E. Frank, B. Pfahringer, and S. M. Mohammad AffectiveTweets: a WEKA Package for Analyzing Affect in Tweets, In Journal of Machine Learning Research 20(92): Pages 1−6, 2019. (pdf)

  5. S. Lang, F. Bravo-Marquez, C. Beckham, M. Hall, and E. Frank WekaDeeplearning4j: a Deep Learning Package for Weka based on DeepLearning4j, In Knowledge-Based Systems, Volume 178, 15 August 2019, Pages 48-50. DOI: 10.1016/j.knosys.2019.04.013 (pdf)

  6. A. Ansell, F. Bravo-Marquez, and B. Pfahringer An ELMo-inspired approach to SemDeep-5's Word-in-Context task. In Proceedings of the 5th Workshop on Semantic Deep Learning (SemDeep-5) co-located with IJCAI 2019 in Macau, China. (pdf)

  7. D. Trye, A. S. Calude, F. Bravo-Marquez, and T. T Keegan Māori Loanwords: A Corpus of New Zealand English Tweets. In Proceedings of the 2019 ACL Student Research Workshop (SRW), Florence, Italy. (pdf)

  8. F. Villena and J. Dunstan Obtención automática de palabras clave en textos clínicos: una aplicación de procesamiento del lenguaje natural a datos masivos de sospecha diagnóstica en Chile. In Revista médica de Chile, Volume 147, 2019. DOI:http://dx.doi.org/10.4067/s0034-98872019001001229 (pdf)