Legal text classification model based on text statistical features and deep semantic features.
Jiaming Gao|Hui Ning|Zhongyuan Han|Leilei Kong|Haoliang Qi
| Anthology ID: | DBLP:conf/fire/GaoNHKQ20 |
|---|---|
| Volume: | Working Notes of FIRE 2020 - Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020. |
| Year: | 2020 |
| Venue: | Forum for Information Retrieval Evaluation (FIRE) |
| Publisher: | CEUR-WS.org |
| Pages: | 35-41 |
| URL: | https://ceur-ws.org/Vol-2826/T1-7.pdf |
| DBLP: | conf/fire/GaoNHKQ20 |
| BibTeX: |
@inproceedings{gao-2020-legal,
author = {Jiaming Gao and
Hui Ning and
Zhongyuan Han and
Leilei Kong and
Haoliang Qi},
editor = {Parth Mehta and
Thomas Mandl and
Prasenjit Majumder and
Mandar Mitra},
title = {{Legal text classification model based on text statistical features and deep semantic features}},
booktitle = {{Working Notes of FIRE 2020 - Forum for Information Retrieval Evaluation, Hyderabad, India, December 16-20, 2020}},
series = {CEUR Workshop Proceedings},
volume = {2826},
pages = {35--41},
publisher = {CEUR-WS.org},
year = {2020},
url = {https://ceur-ws.org/Vol-2826/T1-7.pdf}
}