Update README.md

README.md

@@ -13,11 +13,22 @@ language:
 </p>
 
 
+
+
+
 # IEPile: A Large-Scale Information Extraction Corpus
 
 This is the official repository for [IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus](https://arxiv.org/abs/2402.14710)
 
 
+[**Datasets**](https://huggingface.co/datasets/zjunlp/iepie) | 
+[**Paper**](https://huggingface.co/papers/2402.14710) | 
+[**Usage**](https://github.com/zjunlp/IEPile) |
+[**Limitations**](./README.md#5limitations) |
+[**Statement & License**](./README.md#4statement-and-license) |
+[**Citation**](./README.md#6cite) 
+
+
 > Please note that our IEPile may undergo **updates** (we will inform you upon their release). It is recommended to utilize the most current version.
 
 
@@ -190,6 +201,27 @@ From the model perspective, due to computational resource limitations, our resea
 ## 6.Cite
 If you use the IEPile or the code, please cite the paper:
 
+```
+@article{DBLP:journals/corr/abs-2402-14710,
+  author       = {Honghao Gui and
+                  Hongbin Ye and
+                  Lin Yuan and
+                  Ningyu Zhang and
+                  Mengshu Sun and
+                  Lei Liang and
+                  Huajun Chen},
+  title        = {IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus},
+  journal      = {CoRR},
+  volume       = {abs/2402.14710},
+  year         = {2024},
+  url          = {https://doi.org/10.48550/arXiv.2402.14710},
+  doi          = {10.48550/ARXIV.2402.14710},
+  eprinttype   = {arXiv},
+  eprint       = {2402.14710},
+  biburl       = {https://dblp.org/rec/journals/corr/abs-2402-14710.bib},
+  bibsource    = {dblp computer science bibliography, https://dblp.org}
+}
+```