Reference

README.md

@@ -31,3 +31,7 @@ p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,retur
 print("".join(c+"。" if q=="E" or q=="S" else c for c,q in zip(s,p)))
 ```
 
+## Reference
+
+Koichi Yasuoka: Sentence Segmentation of Classical Chinese Texts Using Transformers and BERT/RoBERTa Models, IPSJ Symposium Series, Vol.2021, No.1 (December 2021), pp.104-109.
+