Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/137223| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 資科系 | - |
| dc.creator | 劉昭麟 | - |
| dc.creator | Liu, Chao-Lin | - |
| dc.creator | Dai, Mian | - |
| dc.date | 2020-12 | - |
| dc.date.accessioned | 2021-09-22T02:40:24Z | - |
| dc.date.available | 2021-09-22T02:40:24Z | - |
| dc.date.issued | 2021-09-22T02:40:24Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/137223 | - |
| dc.description.abstract | Judicial decisions are an important part of modern democratic societies. In this paper, I present results of multi-label classification of Chinese judicial documents. The experiments employ the same corpus that was used in Chinese AI & Law Challenge(CAIL) 2018. | - |
| dc.format.extent | 917551 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation | Proceedings of the 2020 IEEE International Conference on Big Data, IEEE, pp.1866-1867 | - |
| dc.subject | Natural language processing ; Multi-label classification ; BERT | - |
| dc.title | Multi-label classification of Chinese judicial documents based on BERT | - |
| dc.type | conference | - |
| dc.identifier.doi | 10.1109/BigData50022.2020.9377969 | - |
| dc.doi.uri | https://doi.org/10.1109/BigData50022.2020.9377969 | - |
| item.grantfulltext | restricted | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | With Fulltext | - |
| item.openairetype | conference | - |
| item.cerifentitytype | Publications | - |
| Appears in Collections: | 會議論文 | |
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