Application of natural language understanding in Chinese power dispatching centre
It is difficult for computer to understand the texts in unstructured Chinese language, which becomes an obstacle for further application of artificial intelligence in the power dispatch center. Understanding of the orders from human dispatchers is the premise for the collaboration of machine and hum...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/42/e3sconf_cpeee2020_02002.pdf |
| _version_ | 1818643948676055040 |
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| author | Tong Jiahong Wu Zhigang Liu Qi Du Liang Xu Liangde Yu Jingxing |
| author_facet | Tong Jiahong Wu Zhigang Liu Qi Du Liang Xu Liangde Yu Jingxing |
| author_sort | Tong Jiahong |
| collection | DOAJ |
| description | It is difficult for computer to understand the texts in unstructured Chinese language, which becomes an obstacle for further application of artificial intelligence in the power dispatch center. Understanding of the orders from human dispatchers is the premise for the collaboration of machine and human being in power system operation. Towards understanding of dispatching texts, this paper proposes a textual semantic analysis framework with active learning of the semantic structure knowledge. Firstly, the words are vectorized by the Skip-gram models. And the hierarchical clustering algorithm is designed to detect the sentence patterns. Then the knowledge base is set up by converting the sentence structure to their regular expressions. In application, define a proprietary semantic framework to extract important device information and to parse the semantic slot using dependency syntax. Application shows that the Chinese texts describing the operation mode switching process can be understood accurately by the computer program. |
| first_indexed | 2024-12-17T00:07:04Z |
| format | Article |
| id | doaj.art-82588f5918e4463ba56a2766bd1584ad |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-17T00:07:04Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-82588f5918e4463ba56a2766bd1584ad2022-12-21T22:10:55ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011820200210.1051/e3sconf/202018202002e3sconf_cpeee2020_02002Application of natural language understanding in Chinese power dispatching centreTong Jiahong0Wu Zhigang1Liu Qi2Du Liang3Xu Liangde4Yu Jingxing5School of Electrical Engineering, South China University of technologySchool of Electrical Engineering, South China University of technologyPower Dispatching and Controlling Center, Guangzhou Power Supply Co., Ltd.Power Dispatching and Controlling Center, Guangzhou Power Supply Co., Ltd.Power Dispatching and Controlling Center, Guangzhou Power Supply Co., Ltd.Reading Academy, Nanjing University of Information Science and TechnologyIt is difficult for computer to understand the texts in unstructured Chinese language, which becomes an obstacle for further application of artificial intelligence in the power dispatch center. Understanding of the orders from human dispatchers is the premise for the collaboration of machine and human being in power system operation. Towards understanding of dispatching texts, this paper proposes a textual semantic analysis framework with active learning of the semantic structure knowledge. Firstly, the words are vectorized by the Skip-gram models. And the hierarchical clustering algorithm is designed to detect the sentence patterns. Then the knowledge base is set up by converting the sentence structure to their regular expressions. In application, define a proprietary semantic framework to extract important device information and to parse the semantic slot using dependency syntax. Application shows that the Chinese texts describing the operation mode switching process can be understood accurately by the computer program.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/42/e3sconf_cpeee2020_02002.pdf |
| spellingShingle | Tong Jiahong Wu Zhigang Liu Qi Du Liang Xu Liangde Yu Jingxing Application of natural language understanding in Chinese power dispatching centre E3S Web of Conferences |
| title | Application of natural language understanding in Chinese power dispatching centre |
| title_full | Application of natural language understanding in Chinese power dispatching centre |
| title_fullStr | Application of natural language understanding in Chinese power dispatching centre |
| title_full_unstemmed | Application of natural language understanding in Chinese power dispatching centre |
| title_short | Application of natural language understanding in Chinese power dispatching centre |
| title_sort | application of natural language understanding in chinese power dispatching centre |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/42/e3sconf_cpeee2020_02002.pdf |
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