Pere-Lluís Huguet Cabot

According to our database1, Pere-Lluís Huguet Cabot authored at least 12 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MOSAICo: a Multilingual Open-text Semantically Annotated Interlinked Corpus.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Mitigating Data Scarcity in Semantic Parsing across Languages with the Multilingual Semantic Layer and its Dataset.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Incorporating Graph Information in Transformer-based AMR Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Cross-lingual AMR Aligner: Paying Attention to Cross-Attention.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

RED<sup>FM</sup>: a Filtered and Multilingual Relation Extraction Dataset.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
AMR Alignment: Paying Attention to Cross-Attention.
CoRR, 2022

2021
REBEL: Relation Extraction By End-to-end Language generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020


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