Update README.md

README.md

@@ -34,7 +34,7 @@ Reference (indexer-assigned) keyphrases are also categorized under the PRMU (<u>
 
 Text pre-processing (tokenization) is carried out using `spacy` (`en_core_web_sm` model) with a special rule to avoid splitting words with hyphens (e.g. graph-based is kept as one token).
 Stemming (Porter's stemmer implementation provided in `nltk`) is applied before reference keyphrases are matched against the source text.
-Details about the process can be found in `prmu.py`.
+Details about the process can be found in `prmu.py`. <u>P</u>resent keyphrases are ordered according to their first occurrence position in the text.
 
 ## Content and statistics