Iker García-Ferrero

Orcid: 0000-0001-9612-7134

According to our database1, Iker García-Ferrero authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction.
CoRR, 2023

HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine.
Proceedings of the Annual Conference of the Spanish Association for Natural Language Processing 2023: Projects and System Demonstrations (SEPLN-PD 2023) co-located with the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Acquisition and Exploitation of Cross-Lingual Knowledge.
Proceedings of the Doctoral Symposium on Natural Language Processing from the PLN.net network 2022 (RED2018-102418-T)(PLNnet-DS-2022) co-located with the XXXVIII edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Benchmarking Meta-embeddings: What Works and What Does Not.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings.
CoRR, 2020


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