Update README.md

README.md

@@ -82,9 +82,9 @@ The model was developed for a very narrow use case in a research project and fin
 As a consequence, its performance could be much worse when applied to texts from other domains (e.g. types of texts other than news articles, texts from other periods of time).
 
 In addition, model output should be checked and post-processed before further use for at least three reasons:
-Sometimes, only some subwords of a journal name are tagged as journal names (e.g.).
-In related cases, tokens inside a journal name are occasionally not identified as a part of the name, leading to the detection of two separate names (e.g.).
-And finally, the model has a slight tendency to also extract names of non-scientific magazines or media outlets when they are presented in a similar context (e.g.).
+Sometimes, only some subwords of a journal name are tagged as journal names.
+In related cases, tokens inside a journal name are occasionally not identified as a part of the name, leading to the detection of two separate names.
+And finally, the model has a slight tendency to also extract names of non-scientific magazines or media outlets when they are presented in a similar context.
 
 ## Training data