https://scholars.lib.ntu.edu.tw/handle/123456789/581359
標題: | Dynamic graph transformer for implicit tag recognition | 作者: | Liou Y.-T Chen C.-C Huang H.-H HSIN-HSI CHEN |
關鍵字: | Natural language processing systems; Dynamic graph; Financial news; Implicit informations; Named entity recognition; On the flies; Relation extraction; Research topics; Textual information; Computational linguistics | 公開日期: | 2021 | 起(迄)頁: | 1426-1431 | 來源出版物: | EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference | 摘要: | Textual information extraction is a typical research topic in the NLP community. Several NLP tasks such as named entity recognition and relation extraction between entities have been well-studied in previous work. However, few works pay their attention to the implicit information. For example, a financial news article mentioned “Apple Inc.” may be also related to Samsung, even though Samsung is not explicitly mentioned in this article. This work presents a novel dynamic graph transformer that distills the textual information and the entity relations on the fly. Experimental results confirm the effectiveness of our approach to implicit tag recognition. ? 2021 Association for Computational Linguistics |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106426695&partnerID=40&md5=7cd7a9915813ccd7dae71cb77ab4ec56 https://scholars.lib.ntu.edu.tw/handle/123456789/581359 |
顯示於: | 資訊工程學系 |
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