Docs for Questions Classifier Classes added
@@ -198,8 +198,100 @@ nlu.load('sentiment').predict("I hate this guy Sami")
## Question Classifier 50 class
[50 Class Questions Classifier example](https://colab.research.google.com/drive/1OwlmLzwkcJKhuz__RUH74O9HqFZutxzS?usp=sharing)
-Classify between 50 different types of questions trained on Trec50
+Classifies between 50 different types of questions trained on the Trec50 dataset
When setting predict(meta=True) nlu will output the probabilities for all other 49 question classes.
+The classes are the following :
+
+
+**Abbreviation question classes:**
+
+{:.steelBlueCols}
+|Class| Definition |
+|------|---------------|
+| abb| abbreviation |
+| exp| expression abbreviated |
+
+**Entities question classes:**
+
+{:.steelBlueCols}
+|Class| Definition |
+|------|---------------|
+| animal | animals |
+| body | organs of body |
+| color | colors |
+| creative | inventions, books and other creative pieces |
+| currency | currency names |
+| dis | .med. diseases and medicine |
+| event | events |
+| food | food |
+| instrument | musical instrument |
+| lang | languages |
+| letter | letters like a-z |
+| other | other entities |
+| plant | plants |
+| product | products |
+| religion | religions |
+| sport | sports |
+| substance | elements and substances |
+| symbol | symbols and signs |
+| technique | techniques and methods |
+| term | equivalent terms |
+| vehicle | vehicles |
+| word | words with a special property |
+
+
+**Description and abstract concepts question classes:**
+
+{:.steelBlueCols}
+|Class| Definition |
+|------|---------------|
+| definition | definition of sth. |
+| description | description of sth. |
+| manner | manner of an action |
+| reason | reasons |
+
+
+**Human being question classes:**
+
+{:.steelBlueCols}
+|Class| Definition |
+|------|---------------|
+| group | a group or organization of persons |
+| ind | an individual |
+| title | title of a person |
+| description | description of a person |
+
+
+**Location question classes:**
+
+{:.steelBlueCols}
+|Class| Definition |
+|------|---------------|
+| city | cities |
+| country | countries |
+| mountain | mountains |
+| other | other locations |
+| state | states |
+
+**Numeric question classes:**
+
+{:.steelBlueCols}
+|Class| Definition |
+|------|---------------|
+| code | postcodes or other codes |
+| count | number of sth. |
+| date | dates |
+| distance | linear measures |
+| money | prices |
+| order | ranks |
+| other | other numbers |
+| period | the lasting time of sth. |
+| percent | fractions |
+| speed | speed |
+| temp | temperature |
+| size | size, area and volume |
+| weight | weight |
+
```python
nlu.load('en.classify.trec50').predict('How expensive is the Watch?')
