Aug. 11, 2023, 6:49 a.m. | Pedro Ruas, Diana F. Sousa, André Neves, Carlos Cruz, Francisco M. Couto

cs.CL updates on arXiv.org arxiv.org

Biomedical Natural Language Processing (NLP) tends to become cumbersome for
most researchers, frequently due to the amount and heterogeneity of text to be
processed. To address this challenge, the industry is continuously developing
highly efficient tools and creating more flexible engineering solutions. This
work presents the integration between industry data engineering solutions for
efficient data processing and academic systems developed for Named Entity
Recognition (LasigeUnicage\_NER) and Relation Extraction (BiOnt). Our design
reflects an integration of those components with external knowledge …

arxiv become biomedical challenge competition engineering industry integration language language processing nasa natural natural language natural language processing nlp processing researchers solution solutions text tools work

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