most citedLinguistic ambiguity analysis in ChatGPT

32 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Morphological evaluation of subwords vocabulary used by BETO language model

Óscar García-Sierra, Ana Fernández-Pampillón Cesteros, Miguel Ortega-Martín

Subword tokenization algorithms used by Large Language Models are significantly more efficient and can independently build the necessary vocabulary of words and subwords without hu…

cs.CL2024★ 1 cited

Building another Spanish dictionary, this time with GPT-4

Miguel Ortega-Martín, Óscar García-Sierra, Alfonso Ardoiz +8

We present the "Spanish Built Factual Freectianary 2.0" (Spanish-BFF-2) as the second iteration of an AI-generated Spanish dictionary. Previously, we developed the inaugural versio…

cs.SD2024★ 2 cited

RADIA -- Radio Advertisement Detection with Intelligent Analytics

Jorge Álvarez, Juan Carlos Armenteros, Camilo Torrón +9

Radio advertising remains an integral part of modern marketing strategies, with its appeal and potential for targeted reach undeniably effective. However, the dynamic nature of rad…

cs.CL2023★ 1 cited

Spanish Built Factual Freectianary (Spanish-BFF): the first AI-generated free dictionary

Miguel Ortega-Martín, Óscar García-Sierra, Alfonso Ardoiz +3

Dictionaries are one of the oldest and most used linguistic resources. Building them is a complex task that, to the best of our knowledge, has yet to be explored with generative La…

cs.CL2023★ 32 cited

Linguistic ambiguity analysis in ChatGPT

Miguel Ortega-Martín, Óscar García-Sierra, Alfonso Ardoiz +3

Linguistic ambiguity is and has always been one of the main challenges in Natural Language Processing (NLP) systems. Modern Transformer architectures like BERT, T5 or more recently…