2 code implementations • 17 Jan 2020 • Iker García-Ferrero, Rodrigo Agerri, German Rigau
This paper presents a new technique for creating monolingual and cross-lingual meta-embeddings.
4 code implementations • 23 Oct 2022 • Iker García-Ferrero, Rodrigo Agerri, German Rigau
Zero-resource cross-lingual transfer approaches aim to apply supervised models from a source language to unlabelled target languages.
Ranked #1 on Cross-Lingual NER on CoNLL Spanish
2 code implementations • 20 Dec 2022 • Iker García-Ferrero, Rodrigo Agerri, German Rigau
In the absence of readily available labeled data for a given sequence labeling task and language, annotation projection has been proposed as one of the possible strategies to automatically generate annotated data.
Ranked #1 on Cross-Lingual NER on MasakhaNER2.0 (Hausa metric)
1 code implementation • 20 Apr 2023 • Iker García-Ferrero, Jon Ander Campos, Oscar Sainz, Ander Salaberria, Dan Roth
Named Entity Recognition (NER) is a core natural language processing task in which pre-trained language models have shown remarkable performance.
Multilingual Named Entity Recognition named-entity-recognition +4
1 code implementation • 5 Oct 2023 • Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri, Oier Lopez de Lacalle, German Rigau, Eneko Agirre
In this paper, we propose GoLLIE (Guideline-following Large Language Model for IE), a model able to improve zero-shot results on unseen IE tasks by virtue of being fine-tuned to comply with annotation guidelines.
Ranked #1 on Zero-shot Named Entity Recognition (NER) on HarveyNER (using extra training data)
1 code implementation • 24 Oct 2023 • Iker García-Ferrero, Begoña Altuna, Javier Álvez, Itziar Gonzalez-Dios, German Rigau
We have used our dataset with the largest available open LLMs in a zero-shot approach to grasp their generalization and inference capability and we have also fine-tuned some of the models to assess whether the understanding of negation can be trained.
1 code implementation • 27 Oct 2023 • Oscar Sainz, Jon Ander Campos, Iker García-Ferrero, Julen Etxaniz, Oier Lopez de Lacalle, Eneko Agirre
In this position paper, we argue that the classical evaluation on Natural Language Processing (NLP) tasks using annotated benchmarks is in trouble.
no code implementations • 11 Apr 2024 • 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
While these LLMs display competitive performance on automated medical texts benchmarks, they have been pre-trained and evaluated with a focus on a single language (English mostly).
2 code implementations • 11 Apr 2024 • Iker García-Ferrero, Begoña Altuna
We present NoticIA, a dataset consisting of 850 Spanish news articles featuring prominent clickbait headlines, each paired with high-quality, single-sentence generative summarizations written by humans.
1 code implementation • Findings (EMNLP) 2021 • Iker García-Ferrero, Rodrigo Agerri, German Rigau
In the last few years, several methods have been proposed to build meta-embeddings.