Update README.md

README.md

@@ -148,7 +148,7 @@ md = GLiNER.from_pretrained("GLiNER-Large-FT-500-epoch-V2", local_files_only=Tru
 This new approach has out-of-memory (OOM) issues, so we could not include it in our research. We have stored the notebook for this approach in the archive.
 
 # Sources
-1.Shah, S. A. A., Masood, M. A., and Yasin, A. (2022). Dark Web: E-Commerce Information Extraction Based on Name Entity Recognition Using Bidirectional-LSTM. Received 29 August 2022, accepted 7 September 2022, date of publication 14 September 2022, date of current version 26 September 2022. Digital Object Identifier: 10.1109/ACCESS.2022.3206539.
+1. Shah, S. A. A., Masood, M. A., and Yasin, A. (2022). Dark Web: E-Commerce Information Extraction Based on Name Entity Recognition Using Bidirectional-LSTM. Received 29 August 2022, accepted 7 September 2022, date of publication 14 September 2022, date of current version 26 September 2022. Digital Object Identifier: 10.1109/ACCESS.2022.3206539.
 
 2. Che, W., Liu, Y., Wang, Y., Zheng, B., \& Liu, T. (2018). Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (pp. 55-64). Brussels, Belgium: Association for Computational Linguistics. http://www.aclweb.org/anthology/K18-2005.