Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 176× · AI/ML
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Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Summary
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction is a scholarly article[1].
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- Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction's instance of is recorded as scholarly article[2].