Name
Abstract | ||
|---|---|---|
Corpus tagging is an important basic work of named entity recognition and relation extraction based on deep learning, and it is also a core task in natural language processing. Aiming at the problems of error propagation, information loss and entity redundancy in the pipeline method, this paper proposes a text annotation method "E+R+BIES" for joint extraction of domain entity relations based on th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IPCCC51483.2021.9679404 | 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC) |
Keywords | DocType | ISSN |
Annotations,Text recognition,Redundancy,Pipelines,Transforms,Tagging,Predictive models | Conference | 1097-2641 |
ISBN | Citations | PageRank |
978-1-6654-4331-9 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxin Shi | 1 | 0 | 0.34 |
| Ailian Zhou | 2 | 0 | 0.34 |
| Xiaohe Liang | 3 | 0 | 0.68 |
| Nengfu Xie | 4 | 18 | 8.62 |
| Saisai Wu | 5 | 0 | 0.34 |
| Xiaoyu Li | 6 | 0 | 0.68 |