Prior Knowledge-Based Event Network for Chinese Text
Text representation is a basic issue of text information processing and event plays an important role in text understanding; both attract the attention of scholars. The event network conceals lexical relations in events, and its edges express logical relations between events in document. However, th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2017/8594863 |
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| _version_ | 1850170740151681024 |
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| author | Yunyu Shi Jianfang Shan Xiang Liu Yongxiang Xia |
| author_facet | Yunyu Shi Jianfang Shan Xiang Liu Yongxiang Xia |
| author_sort | Yunyu Shi |
| collection | DOAJ |
| description | Text representation is a basic issue of text information processing and event plays an important role in text understanding; both attract the attention of scholars. The event network conceals lexical relations in events, and its edges express logical relations between events in document. However, the events and relations are extracted from event-annotated text, which makes it hard for large-scale text automatic processing. In the paper, with expanded CEC (Chinese Event Corpus) as data source, prior knowledge of manifestation rules of event and relation as the guide, we propose an event extraction method based on knowledge-based rule of event manifestation, to achieve automatic building and improve text processing performance of event network. |
| format | Article |
| id | doaj-art-9b167cbbe45f4e0c8eb1e4e5ce9d37a6 |
| institution | OA Journals |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-9b167cbbe45f4e0c8eb1e4e5ce9d37a62025-08-20T02:20:25ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862017-01-01201710.1155/2017/85948638594863Prior Knowledge-Based Event Network for Chinese TextYunyu Shi0Jianfang Shan1Xiang Liu2Yongxiang Xia3School of Electronic & Electric Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Songjiang District, Shanghai, ChinaSchool of Information, Qilu University of Technology, 3501 Daxue Road, Changqing District, Jinan, ChinaSchool of Electronic & Electric Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Songjiang District, Shanghai, ChinaSchool of Electronic & Electric Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Songjiang District, Shanghai, ChinaText representation is a basic issue of text information processing and event plays an important role in text understanding; both attract the attention of scholars. The event network conceals lexical relations in events, and its edges express logical relations between events in document. However, the events and relations are extracted from event-annotated text, which makes it hard for large-scale text automatic processing. In the paper, with expanded CEC (Chinese Event Corpus) as data source, prior knowledge of manifestation rules of event and relation as the guide, we propose an event extraction method based on knowledge-based rule of event manifestation, to achieve automatic building and improve text processing performance of event network.http://dx.doi.org/10.1155/2017/8594863 |
| spellingShingle | Yunyu Shi Jianfang Shan Xiang Liu Yongxiang Xia Prior Knowledge-Based Event Network for Chinese Text International Journal of Digital Multimedia Broadcasting |
| title | Prior Knowledge-Based Event Network for Chinese Text |
| title_full | Prior Knowledge-Based Event Network for Chinese Text |
| title_fullStr | Prior Knowledge-Based Event Network for Chinese Text |
| title_full_unstemmed | Prior Knowledge-Based Event Network for Chinese Text |
| title_short | Prior Knowledge-Based Event Network for Chinese Text |
| title_sort | prior knowledge based event network for chinese text |
| url | http://dx.doi.org/10.1155/2017/8594863 |
| work_keys_str_mv | AT yunyushi priorknowledgebasedeventnetworkforchinesetext AT jianfangshan priorknowledgebasedeventnetworkforchinesetext AT xiangliu priorknowledgebasedeventnetworkforchinesetext AT yongxiangxia priorknowledgebasedeventnetworkforchinesetext |