Update README.md

README.md

@@ -139,7 +139,7 @@ The two evaluation tasks make use of the [20 Minuten dataset](https://www.zora.u
 
 <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
 
-Embeddings are computed for the summary and content of each document. Subsequently, the embeddings are matched by minimizing cosine similarity scores betweend each summary and content embedding pair.
+Embeddings are computed for the summary and content of each document. Subsequently, the embeddings are matched by minimizing cosine similarity scores between each summary and content embedding pair.
 
 The performance is measured via accuracy, i.e. the ratio of correct vs. incorrect matches. The script can be found [here](https://github.com/jgrosjean-mathesis/swissbert-for-sentence-embeddings/tree/main).