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Publications

Publications

Journal Papers

  1. H. Sarmiento, R. Córdova, J. Ortiz, F. Bravo-Marquez, M. Santos and S. Valenzuela Unsupervised Framing Analysis for Social Media Discourse in Polarizing Events. In ACM Transactions on the Web (TWEB), November 2024. (to appear) (pdf)

  2. D. Schlechtweg, F.D Zamora-Reina, F. Bravo-Marquez, and N. Arefyev Sense Through Time: Diachronic word sense annotations for Word Sense Induction and Lexical Semantic Change Detection. In Language Resources and Evaluation, September 2024. DOI:10.1007/s10579-024-09771-7 (pdf)

  3. M. Araneda, F. Bravo-Marquez, D. Parra, and R.F Cádiz MUSIB: Musical Score Inpainting Benchmark. In EURASIP Journal on Audio, Speech, and Music Processing, 2023, 19 (2023). DOI:10.1186/s13636-023-00279-6 (pdf)

  4. 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), Volume 3, Issue 3, July 2022. Pages 1–22. DOI:10.1145/3498324 (pdf)

  5. J. Diaz, F. Bravo-Marquez and B. Poblete, Language Modeling on Location-Based Social Networks. In ISPRS International Journal of Geo-Information , Volume 11, Number 2, Article Number 147, February 2022. DOI: 10.3390/ijgi11020147 (pdf)

  6. F. Bravo-Marquez and C. Tamblay Words, Tweets and Reviews: Leveraging Affective Knowledge Between Multiple Domains. In Cognitive Computation, Volume 14, January 2022. Pages 388-406. DOI: 10.1007/s12559-021-09923-9 (pdf)

  7. F. Bravo-Marquez, A. Khanchandani, and B. Pfahringer Incremental word-vectors for time-evolving sentiment lexicon induction. In Cognitive Computation, Volume 14, January 2022. Pages 425-441. DOI:10.1007/s12559-021-09831-y (pdf)

  8. 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)

  9. 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)

  10. 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)

  11. 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)

  12. 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)

  13. 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)

  14. 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)

  15. 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)

  16. 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)

  17. 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. M. J. Zambrano and F. Bravo-Marquez Optimization of Bias Mitigation in Word Embeddings: a Methodological Approach, In Proceedings of the 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2024), Bangkok, Thailand 2024. (to appear) (pdf)

  2. H. Sarmiento, J. Ortiz, F. Bravo-Marquez, M. Santos, and S. Valenzuela A Comparative Analysis of Offensive Discourse in the 2021 Chilean Presidential Campaign on Twitter and WhatsApp, In Proceedings of the 23rd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2024), Bangkok, Thailand 2024. (to appear) (pdf)

  3. J. Cañete and F. Bravo-Marquez Speedy Gonzales: A Collection of Fast Task-Specific Models for Spanish, In *Sem '24: Proceedings of the 13th joint conference on lexical and computational semantics (*Sem), June 2024, Mexico City, Mexico. Association for Computational Linguistics. Pages 176–189. (pdf)

  4. M. J. Zambrano and F. Bravo-Marquez Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and their Interactions. In Proceedings of the 2024 Joint International Conference on Computational Linguistics (COLING 2024), Torino, Italy. Association for Computational Linguistics. Pages 17154–17164. (pdf)

  5. G. Iturra-Bocaz and F. Bravo-Marquez RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Stream. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan. Association for Computing Machinery. Pages 3027–3036. DOI:10.1145/3539618.3591908 (pdf)

  6. I. M. De la Jara, C. Rodriguez, E. Marrese-Taylor, and F. Bravo-Marquez An empirical study of the effect of video encoders on Temporal Video Grounding. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023, Paris, France. IEEE Xplore. Pages 2850-2855. DOI:10.1109/ICCVW60793.2023.00306 (pdf)

  7. M. Rojas, F. Bravo-Marquez, and J. Dunstan Simple yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition. In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea. Association for Computational Linguistics. Pages 2108–2117. (pdf)

  8. H. Sarmiento, F. Bravo-Marquez, E. Graells-Garrido, and B. Poblete Identifying and Characterizing New Expressions of Community Framing during Polarization. In Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM 2022), Atlanta, Georgia, USA. AAAI Press. Pages 841-851. (pdf)

  9. F. D. Zamora-Reina, F. Bravo-Marquez, and D. Schlechtweg LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. In Proceedings of the 3rd International Workshop on Computational Approaches to Historical Language Change (LCHANGE 2022), co-located with ACL 2022, Dublin, Ireland. Association for Computational Linguistics. Pages 149–164. (pdf), (codalab)

  10. V. Araujo, A. Caravallo, S. Kundu, J. Cañete, M. Mendoza, R. E. Mercer, F. Bravo-Marquez, M. Moens, and A. Soto Evaluation Benchmarks for Spanish Sentence Representations. In Proceedings of the 13th Edition of The Language Resources and Evaluation Conference (LREC 2022) , Marseille, France. Pages 6024-6034. (pdf)

  11. J. Cañete, S. Donoso, F. Bravo-Marquez, A. Caravallo, and V. Araujo ALBETO and DistilBETO: Lightweight Spanish Language Models. In Proceedings of the 13th Edition of The Language Resources and Evaluation Conference (LREC 2022) , Marseille, France. Pages 4291-4298. (pdf)

  12. 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).

  13. 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)

  14. 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).

  15. 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).

  16. 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)

  17. 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)

  18. 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)

  19. 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)

  20. 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)

  21. 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)

  22. 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)

  23. 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)

  24. 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)

  25. 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)

  26. 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)

  27. 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)

  28. 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)

  29. 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)

  30. 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)

  31. 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)

  32. 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)

  33. 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)

  34. 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)

  35. 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)

  36. 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)

  37. 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 Un recorrido por los modelos de lenguaje: Desde Shannon a GPT-4, In Revista Bits de Ciencia Volume 25 Pages 16-27, October 2023. (pdf)
  2. 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