Publications

Journal Papers

  1. P. Baéz, F. Bravo-Marquez, J. Dunstan, M. Rojas, and F. Villena Automatic Extraction of Nested Entities in Clinical Referrals in Spanish. In ACM Transactions on Computing for Healthcare (HEALTH) (to appear) (pdf)

  2. F. Bravo-Marquez and C. Tamblay Words, Tweets and Reviews: Leveraging Affective Knowledge Between Multiple Domains. In Cognitive Computation. DOI: 10.1007/s12559-021-09923-9 (pdf)

  3. F. Bravo-Marquez, A. Khanchandani, and B. Pfahringer Incremental word-vectors for time-evolving sentiment lexicon induction. In Cognitive Computation, 2021. DOI:10.1007/s12559-021-09831-y (pdf)

  4. F. Tobar, F. Bravo-Marquez, J. Dunstan, J. Fontbona, A. Maass, and D. Remenik, and J.F. Silva Data Science for Engineers: A Teaching Ecosystem. In IEEE Signal Processing Magazine, Volume 38, Issue 3, May 2021. Pages 144-153. DOI:10.1109/MSP.2021.3053551 (pdf)

  5. 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)

  6. 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)

  7. 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)

  8. 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)

  9. F. Bravo-Marquez, E. Frank, and B. Pfahringer Transferring Sentiment Knowledge between Words and Tweets. In Web Intelligence Volume 16, no. 4, 31 October 2018, Pages 203-220. DOI: 10.3233/WEB-180389 (pdf)

  10. F. Bravo-Marquez, E. Frank, and B. Pfahringer Building a Twitter Opinion Lexicon from Automatically-annotated Tweets. In Knowledge-Based Systems Volume 108, 15 September 2016, Pages 65–78. DOI:10.1016/j.knosys.2016.05.018 (pdf)

  11. J.D. Velásquez, Y. Covacevich, F. Molina, E. Marrese-Taylor, C. Rodríguez, and F. Bravo-Marquez DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources. In Information Fusion Volume 27, January 2016, Pages 64–75. DOI:10.1016/j.inffus.2015.05.006 (pdf)

  12. E. Marrese-Taylor, J.D. Velásquez, F. Bravo-Marquez A Novel Deterministic Approach for Aspect-Based Opinion Mining in Tourism Products Reviews. In Expert Systems with Applications Volume 41, Issue 17, 1 December 2014, Pages 7764–7775. DOI:10.1016/j.eswa.2014.05.045 (pdf)

  13. F. Bravo-Marquez, M. Mendoza and B. Poblete Meta-Level Sentiment Models for Big Social Data Analysis. In Knowledge-Based Systems Volume 69, October 2014, Pages 86–99. DOI:10.1016/j.knosys.2014.05.016 (pdf)

Conference and Workshop Papers

  1. A. Ansell, F. Bravo-Marquez, and B. Pfahringer PolyLM: Learning about Polysemy through Language Modeling. In Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Kyiv, Ukraine. Pages 563–574. (pdf),(code).

  2. J. Cerezo, A. Bergel, and F. Bravo-Marquez Tools Impact on the Quality of Annotations for Chat Untangling. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop, Bangkok, Thailand. Pages 215–220 (pdf)

  3. J. Muñoz and F. Bravo-Marquez Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education. In Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2021), Co-located with EACL 2021, Kyiv, Ukraine. Pages 171-179 (pdf),(code).

  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 (IJCAI 2020), Yokohama, Japan. Pages 430-436. DOI:10.24963/ijcai.2020/60. Acceptance rate: 12.6%. (pdf),(code).

  5. F. D. Zamora-Reina, F. Bravo-Marquez DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings. In Proceedings of International Workshop on Semantic Evaluation (SemEval-2020), Barcelona, Spain, 2020. Pages 194-200. (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. Bravo-Marquez, S. Reeves, and M. Ugarte Proof-of-Learning: a Blockchain Consensus Mechanism based on Machine Learning Competitions. In Proceedings of the 2019 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPCON), April 2019, East Bay, San Francisco, California, USA. Pages 119-124. DOI:10.1109/DAPPCON.2019.00023. (pdf)

  9. S. M. Mohammad, F. Bravo-Marquez, M. Salameh, and S. Kiritchenko Semeval-2018 Task 1: Affect in tweets. In Proceedings of International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, LA, USA, June 2018. (pdf)|(leaderboard)

  10. S. M. Mohammad and F. Bravo-Marquez WASSA-2017 Shared Task on Emotion Intensity, In Proceedings of the EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), September 2017, Copenhagen, Denmark. (pdf)

  11. S. M. Mohammad and F. Bravo-Marquez Emotion Intensities in Tweets, In *Sem '17: Proceedings of the sixth joint conference on lexical and computational semantics (*Sem), August 2017, Vancouver, Canada. (pdf)

  12. F. Bravo-Marquez, E. Frank, S. M. Mohammad, and B. Pfahringer Determining Word--Emotion Associations from Tweets by Multi-Label Classification, In WI '16: Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, Nebraska, USA 2016. Pages 536-539. DOI:10.1109/WI.2016.90 (pdf)

  13. F. Bravo-Marquez, E. Frank, and B. Pfahringer From opinion lexicons to sentiment classification of tweets and vice versa: a transfer learning approach, In WI '16: Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, Nebraska, USA 2016. Pages 145-152. DOI:10.1109/WI.2016.29 (pdf)

  14. F. Bravo-Marquez, E. Frank, and B. Pfahringer Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis, In ECAI '16: Proceedings of the 22nd Biennial European Conference on Artificial Intelligence. The Hague, Holland 2016. IOS press. DOI:10.3233/978-1-61499-672-9-498 (pdf)

  15. F. Bravo-Marquez, E. Frank, and B. Pfahringer Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-annotated Tweets, In IJCAI '15: Proceedings of the 24th International Joint Conference on Artificial Intelligence. Buenos Aires, Argentina 2015.(pdf)|(poster)

  16. F. Bravo-Marquez, E. Frank, and B. Pfahringer From Unlabelled Tweets to Twitter-specific Opinion Words, In SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research & Development in Information Retrieval. Santiago, Chile 2015. DOI:10.1145/2766462.2767770 (pdf)|(poster)

  17. E. Marrese-Taylor, J.D. Velásquez, F. Bravo-Marquez OpinionZoom, a modular tool to explore tourism opinions on the Web, In WI '2013: IEEE/WIC/ACM International Conference on Web Intelligence. Industry Track. Atlanta, USA. DOI:10.1109/WI-IAT.2013.19 (pdf)

  18. M. Mendoza, F. Bravo-Marquez, B. Poblete, and D. Gayo-Avello Long-memory Time Series Ensembles for Concept Shift Detection, In KDD-BigMine '13 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications. Chicago, USA 2013. DOI:10.1145/2501221.2501225 (pdf)

  19. F. Bravo-Marquez, M. Mendoza and B. Poblete Combining Strengths, Emotions and Polarities for Boosting Twitter Sentiment Analysis, In KDD-WISDOM '13: 2nd Workshop on Issues of Sentiment Discovery and Opinion Mining. Chicago, USA 2013. DOI:10.1145/2502069.2502071 (pdf)

  20. E. Marrese-Taylor, J.D. Velásquez, F. Bravo-Marquez, Y. Matsuo Identifying Customer Preferences about Tourism Products using an Aspect-Based Opinion Mining Approach, In KES '13: 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. Kitakyushu, Japan, 2013. Procedia Computer Science. DOI:10.1016/j.procs.2013.09.094 (pdf)

  21. F. Bravo-Marquez, D. Gayo-Avello, M. Mendoza and B. Poblete Opinion Dynamics of Elections in Twitter, In LA-WEB '12: 8th Latin American Web Congress. Cartagena de Indias, Colombia, 2012. IEEE Computer Society's Conference Publishing Services (CPS). DOI:10.1109/LA-WEB.2012.11 (pdf)

  22. F. Bravo-Marquez and M. Manriquez A Zipf-Like Distant Supervision Approach for Multi-Document Summarization Using Wikinews Articles, In SPIRE '12: 19th International Symposium on String Processing and Information Retrieval. Cartagena de Indias, Colombia, 2012. Springer-Verlag. DOI:10.1007/978-3-642-34109-0_15 (pdf)

  23. F. Bravo-Marquez, G. L'Huillier, P. Moya, S.A. Rios, and J.D. Velasquez An Automatic Text Comprehension Classifier Based on Mental Models and Latent Semantic Features, In I-KNOW '2011: 11th International Conference on Knowledge Management and Knowledge Technologies. Grass, Austria. ACM ICPS. DOI:10.1145/2024288.2024317 (pdf)

  24. F. Bravo-Marquez, G. L'Huillier, S.A. Rios, and J.D. Velasquez A Text Similarity Meta-Search Engine Based on Document Fingerprints and Search Results Records, In WI '2011: IEEE/WIC/ACM International Conference on Web Intelligence. Lyon, France. DOI:10.1109/WI-IAT.2011.27 (pdf)

  25. F. Bravo-Marquez, G. L'Huillier, S. Rios, and J.D. Velasquez Hypergeometric Language Model and Zipf-like Scoring Function for Web Document Similarity Retrieval, In SPIRE '10: 17th International Symposium on String Processing and Information Retrieval. Los Cabos, Mexico, 2010. Springer-Verlag. DOI:10.1007/978-3-642-16321-0_32 (pdf)

  26. F. Bravo-Marquez, G. L'Huillier, S. Rios, J.D. Velasquez, and L. Guerrero DOCODE-lite: A Meta-Search Engine for Document Similarity Retrieval, In KES '10: 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. Cardiff, Wales, 2010. Springer-Verlag. DOI:10.1007/978-3-642-15390-7_10 (pdf)

Non-peer reviewed articles

  1. F. Bravo-Marquez and J. Dunstan Procesamiento de Lenguaje Natural: dónde estamos y qué estamos haciendo, In Revista Bits de Ciencia Volume 21 Pages 45-47, July 2021. (pdf)

Theses