RoBERT-Agr: An Entity Relationship Extraction Model of Massive Agricultural Text Based on the RoBERTa and CRF Algorithm

Author:

Chen Tianyue1,Qian Yongqiang1,Wang Yaojun1,Chen Xiaojin1,Ouyang Di2,Dong Shihao1,Li Xiang1,Zhao Jingbo1,Huang Lan1

Affiliation:

1. China Agricultural University,College of Information and Electrical Engineering,Beijing,China

2. China Agricultural University,College of Land Science and Technology,Beijing,China

Publisher

IEEE

Reference34 articles.

1. Named entity recognition using an HMMbased chunk tagger[C];zhou;Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02,2002

2. Preemptive information extraction using unrestricted relation discovery

3. Maximum entropy Markov models for information extraction and segmentation[C];mccallum;17th International Conference on Machine Learning,2000

4. Use of support vector machines in extended named entity recognition

5. A Maximum Entropy Approach to Natural Language Processing[J];berger;Computational Linguistics,2002

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