Update README.md

README.md

@@ -147,28 +147,16 @@ This way, the model learns an inner representation of 100 languages that can the
 This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains.  
 
 
-## Bibtex reference
+## Bibtex Reference
 
 ```text
 
 @inproceedings{schelbECCEEntitycentricCorpus2022,
-	address = {Virtual Event, Lyon France},
 	title = {{ECCE}: {Entity}-centric {Corpus} {Exploration} {Using} {Contextual} {Implicit} {Networks}},
-	copyright = {All rights reserved},
-	isbn = {978-1-4503-9130-6},
-	shorttitle = {{ECCE}},
 	url = {https://dl.acm.org/doi/10.1145/3487553.3524237},
-	doi = {10.1145/3487553.3524237},
-	language = {en},
-	urldate = {2023-02-14},
 	booktitle = {Companion {Proceedings} of the {Web} {Conference} 2022},
-	publisher = {ACM},
 	author = {Schelb, Julian and Ehrmann, Maud and Romanello, Matteo and Spitz, Andreas},
-	month = apr,
 	year = {2022},
-	keywords = {Read},
-	pages = {278--281},
-	file = {Full Text:/Users/julianschelb/Zotero/storage/PECQVBSZ/Schelb et al. - 2022 - ECCE Entity-centric Corpus Exploration Using Cont.pdf:application/pdf},
 }
 
 ```