Dynamic Graph Transformer for Implicit Tag Recognition
Yi‐Ting Liou, Chung-Chi Chen, Hen‐Hsen Huang, Hsin‐Hsi Chen · 2021
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.