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| Entity Semantic Extension Based Culture Text Retrieval for Cross-Country Ethnic Group |
| MAO Cunli1,2, HAO Pengpeng1,2, LEI Xiongli2,3, WANG Bin1,2, WANG Hongbin1,2, ZHANG Yafei1,2 |
1.Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650000, China;
2.Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, Yunnan 650000, China;
3.Kunming Metallurgical College, Kunming, Yunnan 650000, China |
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Abstract To deal with the semantic sparsity caused by same entities in different forms in the culture of cross-border ethnic groups, this paper proposes a cross-border ethnic culture retrieval method based on entity semantic expansion. It uses the cross-border ethnic cultural knowledge map to associate the entities between various culture texts in the form of knowledge triples with addtional entity category tags. The TransH model is applied to represent entities and their extended semantic information, which is integrated into the query as kind of semantic enhancement. Experimental results show that the proposed method is 5.4% higher than the baseline model.
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Received: 19 September 2021
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2022, Vol. 36 
