added model usage and preprocessing details

README.md

@@ -13,14 +13,19 @@ tags:
 This work is a joint effort of Slovak National Competence Center for High-Performance Computing and Nettle, s.r.o., a Slovak-based start-up focusing on natural language processing, chatbots and voicebots.
 
 ## Model usage
-The model recognizes following entities: STREET, HOUSENUMBER, MUNICIPALITY, POSTALNUMBER. It uses BIO annotation scheme and therefore together with the O label has 9 labels in total.
+The model recognizes following entities: STREET, HOUSENUMBER, MUNICIPALITY, POSTALNUMBER.
+It uses BIO annotation scheme and therefore together with the O label has 9 labels in total.
 
 It is inteded to be used only on SLOVAK addresses.
 
 The primary use is to annotate input from speech-to-text transcriptions, therefore it handles natural speech hesitations (e.g. "Ďalej", "no", "uh").
 
+Both house number and cadastral registration number are labelled as HOUSENUMBER.
+Names of parts of a municipalities are also labelled as MUNICIPALITY.
+
 ### Preprocessing and input format
 The input is preprocessed so that it doesn't contain any commas!
+The input can be both lower case and upper case, even contain errors when a proper noun starts lowercase.
 The house number can have two parts separated by a slash and it can contain a letter from A to F at the end (e.g. "Mätová ulica 97/25C").
 The postal number is always composed of 5 digits, but can be split into two parts by 3 and 2 digits respectively (e.g. "923 12", "84401").
 The street can contain shortened parts (e.g. "Ulica J. Matúšku").