Cross-lingual semantic annotation of biomedical literature: experiments in Spanish and English
… language in the field; in recent years, there has been a growing interest from the natural
language processing … approaches to semantic annotation and the evaluation framework; the …
language processing … approaches to semantic annotation and the evaluation framework; the …
Methodical systematic review of abstractive summarization and natural language processing models for biomedical health informatics: Approaches, metrics and …
… Natural language processing encompasses a large variety and widely spread tasks such
as textual entailment, question-answers, semantic-… like ACM digital library, Springer, IEEE, …
as textual entailment, question-answers, semantic-… like ACM digital library, Springer, IEEE, …
Mining on Alzheimer's diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing
… framework to construct and analyze a knowledge graph that links AD/ADRD-related biomedical
… extracted from the biomedical literature using Natural Language Processing (NLP) tools …
… extracted from the biomedical literature using Natural Language Processing (NLP) tools …
Towards a scientific workflow featuring Natural Language Processing for the digitisation of natural history collections.
… It is widely used in both image processing and natural language processing to support
end-toend learning by simultaneously training all parameters and representing them by a single …
end-toend learning by simultaneously training all parameters and representing them by a single …
A novel machine learning framework for automated biomedical relation extraction from large-scale literature repositories
… natural language processing (NLP) and machine learning techniques, automated biomedical
… BERE applies latent tree learning and self-attention to fully exploit the semantic and …
… BERE applies latent tree learning and self-attention to fully exploit the semantic and …
Natural language processing
SC Fanni, M Febi, G Aghakhanyan, E Neri - Introduction to Artificial …, 2023 - Springer
… ) language model, which builds on the framework of … semantic network: each concept in
the Metathesaurus is assigned one or more semantics and they are linked together by semantic …
the Metathesaurus is assigned one or more semantics and they are linked together by semantic …
pubmedKB: an interactive web server for exploring biomedical entity relations in the biomedical literature
… visualize semantic relationships between four biomedical … natural language processing
techniques to extract semantic … on the R-BERT relation classification framework (22) and use a …
techniques to extract semantic … on the R-BERT relation classification framework (22) and use a …
Electramed: a new pre-trained language representation model for biomedical nlp
G Miolo, G Mantoan, C Orsenigo - arXiv preprint arXiv:2104.09585, 2021 - arxiv.org
… several biomedical natural language processing (NLP) tasks. … provided by the ELECTRA
framework, we were able to … For biomedical semantic QA we selected as benchmark the …
framework, we were able to … For biomedical semantic QA we selected as benchmark the …
Biomedical relation extraction with knowledge base–refined weak supervision
… datasets for biomedical natural language processing (NLP) … merely coexist within it without
semantically indicating a relation (… into sentences using the Stanza library. In the third step, we …
semantically indicating a relation (… into sentences using the Stanza library. In the third step, we …
Chemu 2020: Natural language processing methods are effective for information extraction from chemical patents
… Evaluation Framework In this section, we describe the evaluation framework of the ChEMU
… We consider two events as a match if (1) their trigger words, event types and semantic roles …
… We consider two events as a match if (1) their trigger words, event types and semantic roles …