In this paper we present the participation of the RETUYT-INCO team at the BEA-MLSP 2024 shared task. We followed different approaches, from Multilayer ...
Jun 20, 2024 · One of the many NLP tasks devoted to this objective is lexical simplification, where systems are built to replace complex words by simpler ones.
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RETUYT-INCO at MLSP 2024: Experiments on language simplification using embeddings, classifiers and large language models. I Sastre, L Alfonso, F Fleitas, F Gil, ...
In this paper we present the participation of the RETUYT-INCO team at the BEA-MLSP 2024 shared task. We followed different approaches, from Multilayer ...
RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models. 618-626. view. electronic edition ...
RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models (Ignacio Sastre, Leandro Alfonso ...
RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models. Ignacio Sastre and 7 other authors ...
In this paper we present the participation of the RETUYT-INCO team at the BEA-MLSP 2024 shared task. We followed different approaches, from Multilayer ...
2024. RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models. In Proceedings of the 19th ...