Update README.md

README.md

@@ -8,11 +8,6 @@ tags:
 
 - finance
 
-datasets:
-
-- securities reports
-- summaries of financial results
-
 widget:
 
 - text: 流動[MASK]は、1億円となりました。
@@ -60,15 +55,15 @@ The models are trained with the same configuration as BERT base in the [original
 **There will be another paper for this pretrained model. Be sure to check here again when you cite.**
 
 ```
-@inproceedings{suzuki2022additional-fin-bert,
-  title={事前学習と追加事前学習による金融言語モデルの構築と検証},
-  % title={Construction and Validation of a Pre-Training and Additional Pre-Training Financial Language Model},
-  author={鈴木 雅弘 and 坂地 泰紀 and 平野 正徳 and 和泉 潔},
-  % author={Masahiro Suzuki and Hiroki Sakaji and Masanori Hirano and Kiyoshi Izumi},
-  booktitle={人工知能学会第28回金融情報学研究会(SIG-FIN)},
-  % booktitle={Proceedings of JSAI Special Interest Group on Financial Infomatics (SIG-FIN) 28},
-  pages={132-137},
-  year={2022}
+@article{Suzuki-etal-2023-ipm,
+  title = {Constructing and analyzing domain-specific language model for financial text mining}
+  author = {Masahiro Suzuki and Hiroki Sakaji and Masanori Hirano and Kiyoshi Izumi},
+  journal = {Information Processing & Management},
+  volume = {60},
+  number = {2},
+  pages = {103194},
+  year = {2023},
+  doi = {10.1016/j.ipm.2022.103194}
 }
 ```