Knowledge of the Ancestors: Intelligent Ontology-aware Annotation of Biological Literature using Semantic Similarity
Knowledge of the Ancestors: Intelligent Ontology-aware Annotation of Biological Literature using Semantic Similarity
复制标题
DOI：
--
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Pratik Devkota;Somya Mohanty
中科院分区：
文献类型：
--
作者：
Pratik Devkota;Somya Mohanty
自然语言处理模型已经作为一种解决方案出现，用于使用本体概念对文献进行快速和自动的标注。由于比传统机器学习技术更准确，深度学习体系结构特别适用于这项任务。先前工作中最大的限制之一是，体系结构在训练或做出预测时不使用本体层次结构。这些模型将本体概念视为独立的实体，而忽略了本体中表示的语义和关系。在这里，我们提出了本体感知模型的深度学习体系结构，该模型使用本体层次结构来训练和预测文本片段的本体概念。
Natural language processing models have emerged as a solution to manual curation for fast and automated annotation of literature with ontology concepts. Deep learning architectures have particularly been employed for this task due to increased accuracy over traditional machine learning techniques. One of the greatest limitations in prior work is that the architectures do not use the ontology hierarchy while training or making predictions. These models treat ontology concepts as if they were independent entities while ignoring the semantics and relationships represented in the ontology. Here, we present deep learning architectures for ontology-aware models that use the ontology hierarchy for training and predicting ontology concepts for pieces of text.