Abelardo Carlos Martinez Lorenzo

According to our database1, Abelardo Carlos Martinez Lorenzo authored at least 11 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Predicting Causal Effects from Natural Language Queries using Structured Representations.
CoRR, May, 2026

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

Efficient AMR Parsing with CLAP: Compact Linearization with an Adaptable Parser.
Proceedings of the 2024 Joint International Conference on 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

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

Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning.
CoRR, 2022

Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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