自然语言语义应答:在药用植物和冠状病毒中的应用

A. Cuevas-Rasgado, Maricela Claudia Bravo Contreras, Franz Ludwig Lake-Moctezuma, A. Guzmán-Arenas
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引用次数: 0

摘要

给出了一个问答系统,它接收西班牙语的问题作为输入并返回答案。Preguntas y Respuestas {questions and answers} (PryRe)有两个主要组件:1)信息检索组件,它使用问题的语义属性识别问题的含义。这个成分将问题转化为一个三元组:R (C, V),其中R是关系或环节,C是概念或主旨,V是概念的价值。例如:¿Cuál es la hierba que mejora la digestión?{什么草药能促进消化?}变成R(C, V) = mejora (hierba, digestión){改善(药草,消化)}。该组件使用自然语言处理模块;2)该组件使用三元组对PryRe的本体进行查询分析,识别答案,在本例中为Manzanilla {Chamomile}。该组件在本体的各个部分上移动时执行问题的语义识别。文中给出了PryRe系统的细节,以及草药和冠状病毒的测试。它显示出可接受的准确率(82%)。本工作中使用的资源是(A)用于描述本体的符号,以及(B) PryRe的演绎能力。©2022国立理工大学版权所有。
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Natural Language Semantic Answering: Application to Medicinal Plants and Coronavirus
A question answering system that receives as input a question in Spanish and returns the answer is presented. Preguntas y Respuestas {questions and answers} (PryRe) has two main components: 1) An information retrieval component that identifies the meaning of the question using its semantic properties. This component transforms the question into a triplet: R (C, V), where R is the relation or link, C is the concept or main idea, and V is the value of the concept. Example: ¿Cuál es la hierba que mejora la digestión? {What is the herb that improves digestion?} becomes R(C, V) = mejora (hierba, digestión) {improves(herb, digestion)}. This component uses natural language processing modules;2) a component that uses the triplet to carry out a query analysis on PryRe's ontology, to identify the answer, which in the example is Manzanilla {Chamomile}. This component performs the semantic identification of the question while traveling on parts of the ontology. Details of the PryRe system are given, as well as tests on herbalism and Coronavirus. It shows an acceptable accuracy (82%). Resources used in this work are (A) a notation used to describe ontologies, and (B) the deductive capability of PryRe. © 2022 Instituto Politecnico Nacional. All rights reserved.
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