Integration of Relation Filtering and Multi-Task Learning in GlobalPointer for Entity and Relation Extraction

• Published in: Applied sciences Vol. 14; no. 15; p. 6832
• Main Authors: Liu, Bin, Tao, Jialin, Chen, Wanyuan, Zhang, Yijie, Chen, Min, He, Lei, Tang, Dan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2024
• Subjects: Artificial intelligence; Computational linguistics; joint entity and relation extraction; knowledge graph; Knowledge representation; Labeling; Language processing; Methods; multi-task learning; Natural language interfaces; Neural networks; overlapping triplets; Triplets; China

The rise of knowledge graphs has been instrumental in advancing artificial intelligence (AI) research. Extracting entity and relation triples from unstructured text is crucial for the construction of knowledge graphs. However, Chinese text has a complex grammatical structure, which may lead to the p...