| 2026 | EACL | Bringing Emerging Architectures to Sequence Labeling in NLP. | Ana Ezquerro, Carlos Gmez-Rodrguez, David Vilares |
| 2026 | LREC | HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning. | Alexis Correa, Carlos Gmez-Rodrguez, David Vilares |
| 2025 | ACL | Hierarchical Bracketing Encodings for Dependency Parsing as Tagging. | Ana Ezquerro, David Vilares, Anssi Yli-Jyr, Carlos Gmez-Rodrguez |
| 2025 | EMNLP | Hierarchical Bracketing Encodings Work for Dependency Graphs. | Ana Ezquerro, Carlos Gmez-Rodrguez, David Vilares |
| 2025 | EMNLP | Nested Named Entity Recognition as Single-Pass Sequence Labeling. | Alberto Muoz-Ortiz, David Vilares, Caio COrro, Carlos Gmez-Rodrguez |
| 2024 | EACL | From Partial to Strictly Incremental Constituent Parsing. | Ana Ezquerro, Carlos Gmez-Rodrguez, David Vilares |
| 2024 | EMNLP | Dependency Graph Parsing as Sequence Labeling. | Ana Ezquerro, David Vilares, Carlos Gmez-Rodrguez |
| 2023 | ACL | Another Dead End for Morphological Tags? Perturbed Inputs and Parsing. | Alberto Muoz-Ortiz, David Vilares |
| 2023 | EMNLP | 4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees. | Carlos Gmez-Rodrguez, Diego Roca, David Vilares |
| 2023 | IJCNLP | On the Challenges of Fully Incremental Neural Dependency Parsing. | Ana Ezquerro, Carlos Gmez-Rodrguez, David Vilares |
| 2023 | IJCNLP | Assessment of Pre-Trained Models Across Languages and Grammars. | Alberto Muoz-Ortiz, David Vilares, Carlos Gmez-Rodrguez |
| 2022 | COLING | The Fragility of Multi-Treebank Parsing Evaluation. | Iago Alonso-Alonso, David Vilares, Carlos Gmez-Rodrguez |
| 2022 | IJCNLP | Parsing linearizations appreciate PoS tags - but some are fussy about errors. | Alberto Muoz-Ortiz, Mark Anderson, David Vilares, Carlos Gmez-Rodrguez |
| 2021 | RANLP | Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing. | Alberto Muoz-Ortiz, Michalina Strzyz, David Vilares |
| 2020 | AAAI | Parsing as Pretraining. | David Vilares, Michalina Strzyz, Anders Sgaard, Carlos Gmez-Rodrguez |
| 2020 | COLING | A Unifying Theory of Transition-based and Sequence Labeling Parsing. | Carlos Gmez-Rodrguez, Michalina Strzyz, David Vilares |
| 2020 | COLING | Bracketing Encodings for 2-Planar Dependency Parsing. | Michalina Strzyz, David Vilares, Carlos Gmez-Rodrguez |
| 2020 | EMNLP | Discontinuous Constituent Parsing as Sequence Labeling. | David Vilares, Carlos Gmez-Rodrguez |
| 2019 | ACL | Sequence Labeling Parsing by Learning across Representations. | Michalina Strzyz, David Vilares, Carlos Gmez-Rodrguez |
| 2019 | ACL | HEAD-QA: A Healthcare Dataset for Complex Reasoning. | David Vilares, Carlos Gmez-Rodrguez |
| 2019 | EMNLP | Towards Making a Dependency Parser See. | Michalina Strzyz, David Vilares, Carlos Gmez-Rodrguez |
| 2019 | NAACL | Viable Dependency Parsing as Sequence Labeling. | Michalina Strzyz, David Vilares, Carlos Gmez-Rodrguez |
| 2019 | NAACL | Better, Faster, Stronger Sequence Tagging Constituent Parsers. | David Vilares, Mostafa Abdou, Anders Sgaard |
| 2019 | NAACL | Harry Potter and the Action Prediction Challenge from Natural Language. | David Vilares, Carlos Gmez-Rodrguez |
| 2018 | EMNLP | Constituent Parsing as Sequence Labeling. | Carlos Gmez-Rodrguez, David Vilares |
| 2018 | NAACL | A Transition-Based Algorithm for Unrestricted AMR Parsing. | David Vilares, Carlos Gmez-Rodrguez |
| 2017 | CoNLL | A non-projective greedy dependency parser with bidirectional LSTMs. | David Vilares, Carlos Gmez-Rodrguez |
| 2017 | EMNLP | Detecting Perspectives in Political Debates. | David Vilares, Yulan He |
| 2016 | ACL | One model, two languages: training bilingual parsers with harmonized treebanks. | David Vilares, Carlos Gmez-Rodrguez, Miguel A. Alonso |
| 2016 | IJCNN | Lyapunov filtering of objectivity for Spanish Sentiment Model. | Iti Chaturvedi, Erik Cambria, David Vilares |
| 2016 | LREC | EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis. | David Vilares, Miguel A. Alonso, Carlos Gmez-Rodrguez |
| 2013 | DocEng | Supervised polarity classification of Spanish tweets based on linguistic knowledge. | David Vilares, Miguel A. Alonso, Carlos Gmez-Rodrguez |