RESUMO
Natural language processing (NLP) technology has played a pivotal role in health monitoring as an important artificial intelligence method. As a key technology in NLP, relation triplet extraction is closely related to the performance of health monitoring. In this paper, a novel model is proposed for joint extraction of entities and relations, combining conditional layer normalization with the talking-head attention mechanism to strengthen the interaction between entity recognition and relation extraction. In addition, the proposed model utilizes position information to enhance the extraction accuracy of overlapping triplets. Experiments on the Baidu2019 and CHIP2020 datasets demonstrate that the proposed model can effectively extract overlapping triplets, which leads to significant performance improvements compared with baselines.
Assuntos
Inteligência Artificial , Processamento de Linguagem Natural , Reconhecimento Psicológico , TecnologiaRESUMO
Gut microbiota and nutrition play major roles in honey bee health. Recent reports have shown that pesticides can disrupt the gut microbiota and cause malnutrition in honey bees. Carbendazim is the most commonly used fungicide in China, but it is not clear whether carbendazim negatively affects the gut microbes and nutrient intake levels in honey bees. To address this research gap, we assessed the effects of carbendazim on the survival, pollen consumption, and sequenced 16 S rRNA gene to determine the bacterial composition in the midgut and hindgut. Our results suggest that carbendazim exposure does not cause acute death in honey bees even at high concentrations (5000 mg/L), which are extremely unlikely to exist under field conditions. Carbendazim does not disturb the microbiome composition in the gut of young worker bees during gut microbial colonization and adult worker bees with established gut communities in the mid and hindgut. However, carbendazim exposure significantly decreases pollen consumption in honey bees. Thus, exposure of bees to carbendazim can perturb their beneficial nutrition homeostasis, potentially reducing honey bee immunity and increasing their susceptibility to infection by pathogens, which influence effectiveness as pollinators, even colony health.