Lingua e Sociedade da Información (Language in the Information Society) (LYS)
Envíos recentes
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GRALENIA: Antimicrobial Resistance Management based on Natural Language and Artificial Intelligence
(CEUR-WS, 2024)[Abstract]: The objective of GRALENIA project is to develop a multidisciplinary, comprehensive and interoperable platform incorporating artificial intelligence algorithms and natural language processing techniques to improve ... -
Dancing in the Syntax Forest: Fast, Accurate and Explainable Sentiment Analysis with SALSA
(CEUR-WS, 2024)[Abstract]: Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be accessible to entities with modest ... -
Grammar Assistance Using Syntactic Structures (GAUSS)
(CEUR-WS, 2024)[Abstract]: Automatic grammar coaching serves an important purpose of advising on standard grammar varieties while not imposing social pressures or reinforcing established social roles. Such systems already exist but most ... -
From Tokens to Trees: Mapping Syntactic Structures in the Deserts of Data-Scarce Languages
(CEUR-WS, 2024-06)[Abstract]: Low-resource learning in natural language processing focuses on developing effective resources, tools, and technologies for languages that are less popular within the industry and academia. This effort is crucial ... -
BERTbek: A Pretrained Language Model for Uzbek
(European Language Resources Association (ELRA), 2024-05)[Abstract]: Recent advances in neural networks based language representation made it possible for pretrained language models to outperform previous models in many downstream natural language processing (NLP) tasks. These ...
