Japanese Entity Linking Based on DBpedia Spotlight with Japanese Morphological Analysis
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- SAWAMURA Yuki
- Aoyama Gakuin University
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- YATSU Motoki
- Aoyama Gakuin University
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- MORITA Takeshi
- Aoyama Gakuin University
Bibliographic Information
- Other Title
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- 日本語形態素解析を導入したDBpedia Spotlightに基づく日本語エンティティリンキング
Abstract
<p>Entity Linking (EL), the task of mapping entity names in natural language sentences to resources in large-scale knowledge graphs, is attracting attention as a fundamental technology for question answering and dialogue systems, etc. DBpedia Spotlight (DS) proposed as an EL tool for DBpedia. Although DS supports multiple languages, the target language model of OpenNLP, a natural language processing library, is required to perform EL specific to a particular language. DS's multilingual model can be used for Japanese EL, but its accuracy is lower than that of OpenNLP's target language model. As of January 2022, both the Japanese model of OpenNLP and the Japanese model of DS have not been released. In this study, we aim to develop a Japanese model of DS by introducing the Japanese morphological analyzer Sudachi into DS. We showed the effectiveness of the Japanese model by comparative evaluating the model of DS and the multilingual model.</p>
Journal
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- JSAI Technical Report, Type 2 SIG
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JSAI Technical Report, Type 2 SIG 2022 (SWO-056), 02-, 2022-03-11
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390010292745842944
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- ISSN
- 24365556
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Allowed