Update README.md

README.md

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 # SentenceTransformer
 
+Repository with the model for the implementation of WikiCheck API, end-to-end open source Automatic Fact-Checking based on Wikipedia.
+
+The research was published in **CIKM2021** applied track:
+- *Trokhymovych, Mykola, and Diego Saez-Trumper.* 
+**WikiCheck: An End-to-End Open Source Automatic Fact-Checking API Based on Wikipedia.**
+Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 
+Association for Computing Machinery, 2021, pp. 4155–4164, CIKM ’21.
+[![DOI:10.1145/3459637.3481961](https://zenodo.org/badge/DOI/10.1145/3459637.3481961.svg)](https://dl.acm.org/doi/10.1145/3459637.3481961)
+
+- The preprint **WikiCheck: An End-to-End Open Source Automatic Fact-Checking API Based on Wikipedia**: [![DOI:10.48550/arXiv.2109.00835](https://zenodo.org/badge/DOI/10.48550/arXiv.2109.00835.svg)](
+https://doi.org/10.48550/arXiv.2109.00835)
+
+
+Uploaded model from the following [repo](https://github.com/trokhymovych/WikiCheck).
+
+Site:
+```
+@inproceedings{10.1145/3459637.3481961,
+author = {Trokhymovych, Mykola and Saez-Trumper, Diego},
+title = {WikiCheck: An End-to-End Open Source Automatic Fact-Checking API Based on Wikipedia},
+year = {2021},
+isbn = {9781450384469},
+publisher = {Association for Computing Machinery},
+address = {New York, NY, USA},
+url = {https://doi.org/10.1145/3459637.3481961},
+doi = {10.1145/3459637.3481961},
+booktitle = {Proceedings of the 30th ACM International Conference on Information & Knowledge Management},
+pages = {4155–4164},
+numpages = {10},
+keywords = {applied research, nlp, nli, wikipedia, fact-checking},
+location = {Virtual Event, Queensland, Australia},
+series = {CIKM '21}
+}
+```
+
 This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
 ## Model Details