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ORCIDFelipe Bravo-Marquez
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- affiliation: University of Waikato, New Zealand
- affiliation: University of Chile, Santiago, Chile
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2020 – today
- 2024
[c35]Felipe Bravo-Marquez, Maria Jose Zambrano:
Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions. LREC/COLING 2024: 17154-17164- [c34]José Cañete, Felipe Bravo-Marquez:
Speedy Gonzales: A Collection of Fast Task-Specific Models for Spanish. *SEM@NAACL 2024: 176-189 - 2023
- [j15]Mauricio Araneda-Hernandez, Felipe Bravo-Marquez, Denis Parra, Rodrigo F. Cádiz:
MUSIB: musical score inpainting benchmark. EURASIP J. Audio Speech Music. Process. 2023(1): 19 (2023) - [c33]Ignacio M. De La Jara, Cristian Rodriguez Opazo, Edison Marrese-Taylor, Felipe Bravo-Marquez:
An empirical study of the effect of video encoders on Temporal Video Grounding. ICCV (Workshops) 2023: 2842-2847 - [c32]Gabriel Iturra-Bocaz
, Felipe Bravo-Marquez:
RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams. SIGIR 2023: 3027-3036 - [i8]Cristian Rodriguez Opazo, Edison Marrese-Taylor, Ehsan Abbasnejad, Hamed Damirchi, Ignacio M. De La Jara, Felipe Bravo-Marquez, Anton van den Hengel:
Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances. CoRR abs/2312.14400 (2023) - 2022
- [j14]Felipe Bravo-Marquez, Cristián Tamblay:
Words, Tweets, and Reviews: Leveraging Affective Knowledge Between Multiple Domains. Cogn. Comput. 14(1): 388-406 (2022) - [j13]Felipe Bravo-Marquez, Arun Khanchandani, Bernhard Pfahringer:
Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction. Cogn. Comput. 14(1): 425-441 (2022) - [j12]Pablo Báez, Felipe Bravo-Marquez, Jocelyn Dunstan, Matías Rojas, Fabián Villena:
Automatic Extraction of Nested Entities in Clinical Referrals in Spanish. ACM Trans. Comput. Heal. 3(3): 28:1-28:22 (2022) - [j11]Juglar Diaz, Felipe Bravo-Marquez, Barbara Poblete:
Language Modeling on Location-Based Social Networks. ISPRS Int. J. Geo Inf. 11(2): 147 (2022) - [c31]Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg:
LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. LChange@ACL 2022: 149-164 - [c30]Matías Rojas, Felipe Bravo-Marquez, Jocelyn Dunstan:
Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition. COLING 2022: 2108-2117 - [c29]Hernan Sarmiento, Felipe Bravo-Marquez, Eduardo Graells-Garrido, Barbara Poblete:
Identifying and Characterizing New Expressions of Community Framing during Polarization. ICWSM 2022: 841-851 - [c28]José Cañete, Sebastian Donoso, Felipe Bravo-Marquez, Andrés Carvallo, Vladimir Araujo:
ALBETO and DistilBETO: Lightweight Spanish Language Models. LREC 2022: 4291-4298 - [c27]Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto:
Evaluation Benchmarks for Spanish Sentence Representations. LREC 2022: 6024-6034 - [i7]Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto:
Evaluation Benchmarks for Spanish Sentence Representations. CoRR abs/2204.07571 (2022) - [i6]José Cañete, Sebastian Donoso, Felipe Bravo-Marquez, Andrés Carvallo, Vladimir Araujo:
ALBETO and DistilBETO: Lightweight Spanish Language Models. CoRR abs/2204.09145 (2022) - [i5]Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg:
LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. CoRR abs/2205.06691 (2022) - 2021
- [j10]Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva:
Data Science for Engineers: A Teaching Ecosystem. IEEE Signal Process. Mag. 38(3): 144-153 (2021) - [c26]Jhonny Cerezo, Felipe Bravo-Marquez, Alexandre Bergel:
Tools Impact on the Quality of Annotations for Chat Untangling. ACL (student) 2021: 215-220 - [c25]Javier Muñoz, Felipe Bravo-Marquez:
Interventions Recommendation: Professionals' Observations Analysis in Special Needs Education. BEA@EACL 2021: 171-179 - [c24]Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer:
PolyLM: Learning about Polysemy through Language Modeling. EACL 2021: 563-574 - [i4]Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva:
Data Science for Engineers: A Teaching Ecosystem. CoRR abs/2101.06119 (2021) - [i3]Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer:
PolyLM: Learning about Polysemy through Language Modeling. CoRR abs/2101.10448 (2021) - 2020
- [j9]David Trye, Andreea Calude, Felipe Bravo-Marquez, Te Taka Keegan:
Hybrid Hashtags: #YouKnowYoureAKiwiWhen Your Tweet Contains Māori and English. Frontiers Artif. Intell. 3: 15 (2020) - [j8]Juglar Diaz, Barbara Poblete, Felipe Bravo-Marquez:
An integrated model for textual social media data with spatio-temporal dimensions. Inf. Process. Manag. 57(5): 102219 (2020) - [c23]Pablo Badilla, Felipe Bravo-Marquez, Jorge Pérez:
WEFE: The Word Embeddings Fairness Evaluation Framework. IJCAI 2020: 430-436 - [c22]Frank D. Zamora-Reina, Felipe Bravo-Marquez:
DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings. SemEval@COLING 2020: 194-200
2010 – 2019
- 2019
- [j7]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer, Saif M. Mohammad:
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets. J. Mach. Learn. Res. 20: 92:1-92:6 (2019) - [j6]Steven Lang, Felipe Bravo-Marquez, Christopher Beckham, Mark A. Hall, Eibe Frank:
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. Knowl. Based Syst. 178: 48-50 (2019) - [c21]David Trye, Andreea Calude, Felipe Bravo-Marquez, Te Taka Keegan:
MāOri Loanwords: A Corpus of New Zealand English Tweets. ACL (2) 2019: 136-142 - [c20]Felipe Bravo-Marquez, Steve Reeves, Martín Ugarte:
Proof-of-Learning: A Blockchain Consensus Mechanism Based on Machine Learning Competitions. DAPPCON 2019: 119-124 - [c19]Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer:
An ELMo-inspired approach to SemDeep-5's Word-in-Context task. SemDeep@IJCAI 2019: 21-25 - 2018
- [j5]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Transferring sentiment knowledge between words and tweets. Web Intell. 16(4): 203-220 (2018) - [c18]Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko:
SemEval-2018 Task 1: Affect in Tweets. SemEval@NAACL-HLT 2018: 1-17 - 2017
- [c17]Saif M. Mohammad, Felipe Bravo-Marquez:
Emotion Intensities in Tweets. *SEM 2017: 65-77 - [c16]Saif M. Mohammad, Felipe Bravo-Marquez:
WASSA-2017 Shared Task on Emotion Intensity. WASSA@EMNLP 2017: 34-49 - [i2]Saif M. Mohammad, Felipe Bravo-Marquez:
Emotion Intensities in Tweets. CoRR abs/1708.03696 (2017) - [i1]Saif M. Mohammad, Felipe Bravo-Marquez:
WASSA-2017 Shared Task on Emotion Intensity. CoRR abs/1708.03700 (2017) - 2016
- [j4]Juan D. Velásquez, Yerko Covacevich, Francisco Molina, Edison Marrese-Taylor, Cristián Rodríguez, Felipe Bravo-Marquez:
DOCODE 3.0 (DOcument COpy DEtector): A system for plagiarism detection by applying an information fusion process from multiple documental data sources. Inf. Fusion 27: 64-75 (2016) - [j3]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Building a Twitter opinion lexicon from automatically-annotated tweets. Knowl. Based Syst. 108: 65-78 (2016) - [c15]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis. ECAI 2016: 498-506 - [c14]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach. WI 2016: 145-152 - [c13]Felipe Bravo-Marquez, Eibe Frank, Saif M. Mohammad, Bernhard Pfahringer:
Determining Word-Emotion Associations from Tweets by Multi-label Classification. WI 2016: 536-539 - 2015
- [c12]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets. IJCAI 2015: 1229-1235 - [c11]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
From Unlabelled Tweets to Twitter-specific Opinion Words. SIGIR 2015: 743-746 - 2014
- [j2]Edison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Marquez:
A novel deterministic approach for aspect-based opinion mining in tourism products reviews. Expert Syst. Appl. 41(17): 7764-7775 (2014) - [j1]Felipe Bravo-Marquez, Marcelo Mendoza, Barbara Poblete:
Meta-level sentiment models for big social data analysis. Knowl. Based Syst. 69: 86-99 (2014) - 2013
- [c10]Edison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Marquez:
Opinion Zoom: A Modular Tool to Explore Tourism Opinions on the Web. Web Intelligence/IAT Workshops 2013: 261-264 - [c9]Felipe Bravo-Marquez, Marcelo Mendoza, Barbara Poblete:
Combining strengths, emotions and polarities for boosting Twitter sentiment analysis. WISDOM 2013: 2:1-2:9 - [c8]Marcelo Mendoza, Barbara Poblete, Felipe Bravo-Marquez, Daniel Gayo-Avello:
Long-memory time series ensembles for concept shift detection. BigMine 2013: 23-30 - [c7]Edison Marrese-Taylor, Juan D. Velásquez, Felipe Bravo-Marquez, Yutaka Matsuo:
Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach. KES 2013: 182-191 - 2012
- [c6]Felipe Bravo-Marquez, Daniel Gayo-Avello, Marcelo Mendoza, Barbara Poblete:
Opinion Dynamics of Elections in Twitter. LA-WEB 2012: 32-39 - [c5]Felipe Bravo-Marquez, Manuel Manriquez:
A Zipf-Like Distant Supervision Approach for Multi-document Summarization Using Wikinews Articles. SPIRE 2012: 143-154 - 2011
- [c4]Felipe Bravo-Marquez, Gaston L'Huillier, Patricio Moya, Sebastián A. Ríos, Juan D. Velásquez:
An automatic text comprehension classifier based on mental models and latent semantic features. I-KNOW 2011: 23 - [c3]Felipe Bravo-Marquez, Gaston L'Huillier, Sebastián A. Ríos, Juan D. Velásquez:
A Text Similarity Meta-Search Engine Based on Document Fingerprints and Search Results Records. Web Intelligence 2011: 146-153 - 2010
- [c2]Felipe Bravo-Marquez, Gaston L'Huillier, Sebastián A. Ríos, Juan D. Velásquez, Luis A. Guerrero:
DOCODE-Lite: A Meta-Search Engine for Document Similarity Retrieval. KES (2) 2010: 93-102 - [c1]Felipe Bravo-Marquez, Gaston L'Huillier, Sebastián A. Ríos, Juan D. Velásquez:
Hypergeometric Language Model and Zipf-Like Scoring Function for Web Document Similarity Retrieval. SPIRE 2010: 303-308
Coauthor Index
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last updated on 2024-09-13 00:41 CEST by the dblp team
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