Update README.md

README.md

@@ -59,10 +59,11 @@ kw_model.extract_keywords(doc, stop_words=None)
 The [keyBERT Homepage](https://github.com/MaartenGr/KeyBERT) gives several other examples on how this can be used. For instance how it can be combined with stop words, how longer phrases can be extracted and how it directly can output the highlighted text.
 
 ## Keyword Extraction
-https://github.com/MaartenGr/BERTopic
+[ToDo - Per Egil - https://github.com/MaartenGr/BERTopic]
+
 
 ## Similarity Search
-[Javier]??
+[TODO - Javier]
 
 
 ## Embeddings and Sentence Similarity (Sentence-Transformers)
@@ -145,8 +146,7 @@ print(scipy_cosine_scores)
 # Evaluation and Parameters
 
 ## Evaluaton
-Rov-Arild?
-
+[Insert some numbers here, Rolv-Arild?]
 
 ## Training
 The model was trained with the parameters: