Spectral learning of weighted automata B Balle, X Carreras, FM Luque, A Quattoni Machine learning 96 (1), 33-63, 2014 | 83 | 2014 |
Spectral learning for non-deterministic dependency parsing FM Luque, A Quattoni, B Balle, X Carreras Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 45 | 2012 |
Atalaya at TASS 2019: Data augmentation and robust embeddings for sentiment analysis FM Luque arXiv preprint arXiv:1909.11241, 2019 | 25 | 2019 |
Atalaya at SemEval 2019 task 5: Robust embeddings for tweet classification JM Pérez, FM Luque Proceedings of the 13th International Workshop on Semantic Evaluation, 64-69, 2019 | 23 | 2019 |
Results of the sequence prediction challenge (spice): a competition on learning the next symbol in a sequence B Balle, R Eyraud, FM Luque, A Quattoni, S Verwer International Conference on Grammatical Inference, 132-136, 2017 | 22 | 2017 |
Unsupervised spectral learning of WCFG as low-rank matrix completion R Bailly, X Carreras Pérez, FM Luque, AJ Quattoni Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 16 | 2013 |
PAC-Learning Unambiguous k,l-NTS ≤ Languages FM Luque, G Infante-Lopez International Colloquium on Grammatical Inference, 122-134, 2010 | 16 | 2010 |
Atalaya at TASS 2018: Sentiment Analysis with Tweet Embeddings and Data Augmentation. FM Luque, JM Pérez Tass@ sepln, 29-35, 2018 | 13 | 2018 |
Overview of the clef ehealth evaluation lab 2021 H Suominen, L Goeuriot, L Kelly, LA Alemany, E Bassani, N Brew-Sam, ... International Conference of the Cross-Language Evaluation Forum for European …, 2021 | 11 | 2021 |
pysentimiento: A python toolkit for sentiment analysis and socialnlp tasks JM Pérez, JC Giudici, F Luque arXiv preprint arXiv:2106.09462, 2021 | 11 | 2021 |
A study of Hate Speech in Social Media during the COVID-19 outbreak V Cotik, N Debandi, FM Luque, P Miguel, A Moro, JM Pérez, P Serrati, ... | 9 | 2020 |
Overview of CLEF eHealth Task 1-SpRadIE: A challenge on information extraction from Spanish Radiology Reports V Cotik, LA Alemany, D Filippo, F Luque, R Roller, J Vivaldi, A Ayach, ... CLEF 2021 Evaluation Labs and Workshop: Online Working Notes. CEUR-WS, 2021 | 7 | 2021 |
CLEF eHealth evaluation lab 2021 L Goeuriot, H Suominen, L Kelly, LA Alemany, N Brew-Sam, V Cotik, ... European Conference on Information Retrieval, 593-600, 2021 | 6 | 2021 |
Una implementación del modelo DMV+ CCM para parsing no supervisado F Luque 2do Workshop Argentino en Procesamiento de Lenguaje Natural, 20-27, 2011 | 5 | 2011 |
Bounding the maximal parsing performance of non-terminally separated grammars FM Luque, G Infante-Lopez International Colloquium on Grammatical Inference, 135-147, 2010 | 4 | 2010 |
ANDES at SemEval-2020 Task 12: A jointly-trained BERT multilingual model for offensive language detection JM Pérez, A Arango, F Luque arXiv preprint arXiv:2008.06408, 2020 | 3 | 2020 |
A structured listwise approach to learning to rank for image tagging J Sánchez, F Luque, L Lichtensztein Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 3 | 2018 |
RoBERTuito: a pre-trained language model for social media text in Spanish JM Pérez, DA Furman, LA Alemany, F Luque arXiv preprint arXiv:2111.09453, 2021 | 2 | 2021 |
A Lazy L Algorithm for Learning Regular Languages from Queries FM Luque 10th International Colloquium on Grammatical Inference ICGI 2010, 5, 2010 | 2 | 2010 |
Upper bounds for unsupervised parsing with Unambiguous Non-Terminally Separated grammars FM Luque, G Infante-Lopez Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of …, 2009 | 2 | 2009 |