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2020 – today
- 2024
[c11]Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar, Elena Cabrio, Iker de la Iglesia, Alberto Lavelli, Bernardo Magnini, Benjamin Molinet, Johana Ramirez-Romero, German Rigau, Jose Maria Villa-Gonzalez, Serena Villata, Andrea Zaninello:
MedMT5: An Open-Source Multilingual Text-to-Text LLM for the Medical Domain. LREC/COLING 2024: 11165-11177- [c10]Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri, Oier Lopez de Lacalle, German Rigau, Eneko Agirre:
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction. ICLR 2024 - [c9]Rodrigo Agerri, Jeremy Barnes, Jaione Bengoetxea, Blanca Calvo Figueras, Joseba Fernandez de Landa, Iker García-Ferrero, Olia Toporkov, Irune Zubiaga:
HiTZ@Disargue: Few-shot Learning and Argumentation to Detect and Fight Misinformation in Social Media. SEPLN (Projects and Demonstrations) 2024: 118-123 - [i11]Iker García-Ferrero, Begoña Altuna
:
NoticIA: A Clickbait Article Summarization Dataset in Spanish. CoRR abs/2404.07611 (2024) - [i10]Iker García-Ferrero, Rodrigo Agerri, Aitziber Atutxa Salazar, Elena Cabrio, Iker de la Iglesia, Alberto Lavelli, Bernardo Magnini, Benjamin Molinet, Johana Ramirez-Romero, German Rigau, Jose Maria Villa-Gonzalez, Serena Villata, Andrea Zaninello:
Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain. CoRR abs/2404.07613 (2024) - [i9]Oscar Sainz, Iker García-Ferrero, Alon Jacovi, Jon Ander Campos, Yanai Elazar, Eneko Agirre, Yoav Goldberg, Wei-Lin Chen, Jenny Chim, Leshem Choshen, Luca D'Amico-Wong, Melissa Dell, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang:
Data Contamination Report from the 2024 CONDA Shared Task. CoRR abs/2407.21530 (2024) - 2023
- [c8]Iker García-Ferrero, Begoña Altuna, Javier Álvez, Itziar Gonzalez-Dios, German Rigau:
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models. EMNLP 2023: 8596-8615 - [c7]Oscar Sainz, Jon Ander Campos, Iker García-Ferrero, Julen Etxaniz, Oier Lopez de Lacalle, Eneko Agirre:
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark. EMNLP (Findings) 2023: 10776-10787 - [c6]Iker García-Ferrero, Rodrigo Agerri, German Rigau:
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks. EMNLP (Findings) 2023: 15203-15217 - [c5]Iker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth:
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases. SemEval@ACL 2023: 1335-1346 - [c4]Rodrigo Agerri, Iñigo Alonso, Aitziber Atutxa, Ander Berrondo, Ainara Estarrona, Iker García-Ferrero, Iakes Goenaga, Koldo Gojenola, Maite Oronoz, Igor Perez-Tejedor, German Rigau, Anar Yeginbergenova:
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine. SEPLN (Projects and Demonstrations) 2023: 65-69 - [i8]Iker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth:
IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases. CoRR abs/2304.10637 (2023) - [i7]Rodrigo Agerri, Iñigo Alonso, Aitziber Atutxa, Ander Berrondo, Ainara Estarrona, Iker García-Ferrero, Iakes Goenaga, Koldo Gojenola, Maite Oronoz, Igor Perez-Tejedor, German Rigau, Anar Yeginbergenova:
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine. CoRR abs/2306.06029 (2023) - [i6]Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri, Oier Lopez de Lacalle, German Rigau, Eneko Agirre:
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction. CoRR abs/2310.03668 (2023) - [i5]Iker García-Ferrero, Begoña Altuna, Javier Álvez, Itziar Gonzalez-Dios, German Rigau:
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models. CoRR abs/2310.15941 (2023) - [i4]Oscar Sainz, Jon Ander Campos, Iker García-Ferrero, Julen Etxaniz, Oier Lopez de Lacalle, Eneko Agirre:
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark. CoRR abs/2310.18018 (2023) - 2022
- [c3]Iker García-Ferrero, Rodrigo Agerri, German Rigau:
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings. EMNLP (Findings) 2022: 6403-6416 - [c2]Iker García-Ferrero:
Acquisition and Exploitation of Cross-Lingual Knowledge. PLN-DS@SEPLN 2022: 15-23 - [i3]Iker García-Ferrero, Rodrigo Agerri, German Rigau:
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings. CoRR abs/2210.12623 (2022) - [i2]Iker García-Ferrero, Rodrigo Agerri, German Rigau:
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks. CoRR abs/2212.10548 (2022) - 2021
- [c1]Iker García-Ferrero, Rodrigo Agerri, German Rigau:
Benchmarking Meta-embeddings: What Works and What Does Not. EMNLP (Findings) 2021: 3957-3972 - 2020
- [i1]Iker García-Ferrero, Rodrigo Agerri, German Rigau:
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings. CoRR abs/2001.06381 (2020)
Coauthor Index
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