Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023) 2023
DOI: 10.1117/12.3009553
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A people-item relation extraction method based on multiple kernel support vector machine model

Shengnan Gao,
Yingying Liu

Abstract: In this research, we present a novel approach for relation extraction using the multiple kernel support vector machine model. The aim is to improve the comprehension of Chinese Instructions by family service robots. Our approach focuses on extracting the people-item relation from Chinese instructions. We start by defining four categories of people-item relations: sequential, belong to, equivalent, and direction. Next, we construct a feature combination for the entity using lexical, phrase, order, and property … Show more

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“…Relationship extraction is an essential aspect of information extraction, aiming to discern the semantic relationship between pairs of entities presented in natural language text. These entities may be linked explicitly or implicitly (Gao and Liu, 2023). Relationship extraction is of paramount importance in diverse applications and its techniques have been widely applied in knowledge graphs, question-and-answer systems, information retrieval, intelligent customer service and various other fields (Zhu et al, 2023).…”
Section: Lexical Relationship Extractionmentioning
confidence: 99%
“…Relationship extraction is an essential aspect of information extraction, aiming to discern the semantic relationship between pairs of entities presented in natural language text. These entities may be linked explicitly or implicitly (Gao and Liu, 2023). Relationship extraction is of paramount importance in diverse applications and its techniques have been widely applied in knowledge graphs, question-and-answer systems, information retrieval, intelligent customer service and various other fields (Zhu et al, 2023).…”
Section: Lexical Relationship Extractionmentioning
confidence: 99%