initial commit

README.md

@@ -74,9 +74,10 @@ for entity in sentence.get_spans('ner'):
 
 This yields the following output:
 ```
-Span [2,3]: "September 1st"   [− Labels: DATE (0.8824)]
-Span [4,5]: "George Washington"   [− Labels: PERSON (0.9604)]
-Span [7,8]: "1 dollar"   [− Labels: MONEY (0.9837)]
+Span [2,3]: "September 1st"   [− Labels: DATE (1.0)]
+Span [4]: "George"   [− Labels: PERSON (1.0)]
+Span [6,7]: "1 dollar"   [− Labels: MONEY (1.0)]
+Span [10,11,12]: "Game of Thrones"   [− Labels: WORK_OF_ART (1.0)]
 ```
 
 So, the entities "*September 1st*" (labeled as a **date**), "*George*" (labeled as a **person**), "*1 dollar*" (labeled as a **money**) and "Game of Thrones" (labeled as a **work of art**) are found in the sentence "*On September 1st George Washington won 1 dollar while watching Game of Thrones*".