Hi
I am new, and I do not fully understand what I am doing.
I am trying to use the lookup table in order to extract the common names from a phrase.
I created a lookup table
Thank you for the reply, I got around 1200 entry in the lookup file
however, I discovered that I need to enter in lowercase and when I make a phrase the first letter in capital, probably because I declared like this in training phrases.
Can you please clarify how lookup table is used. For e.g. if I gave one below line, would RASA will use all ccode defined in the ccode.txt files as training set to create the model or it is just the one line below used for creating model? and how do I verify if look up table content was used to create model?
I have a data folder that contains the data.md file and the lookup table text file (newline separated) with 21 different locations. Iāve included 8 of the 21 locations in the data.md file. Iāve referenced the lookup table in the data.md file with the following lines:
## lookup : location
data/location.txt
when I train the model with the following python code (after installing the packages):
the resulting model does not pick up on any of the location entities that are in the lookup table. I also noticed there is no sign of any lookup table related files in the projects folder that is created when I train the model (not sure if this should be the case or not)
I seem to be out of ideas to make this work. Can anyone spot anything?
I am facing issue with look up tables. It is not working. I have used story, domain, config files from github (rasa/examples/restaurantbot at master Ā· RasaHQ/rasa Ā· GitHub /)
To add more locations(local) I have used lookup tables. These new locations are not identified as locations.
Whenever I launch bot I get warning , saying that "
Is that the reason why it is not working?
C:\Anaconda3\Lib\runpy.py:125: RuntimeWarning: ārasa_core.runā found in sys.modules after import of package ārasa_coreā, but prior to execution of ārasa_core.runā; this may result in unpredictable behaviour"
My versions as below:
rasa-core==0.14.5
rasa-core-sdk==0.14.0
rasa-nlu==0.15.1
spacy==2.1.8
pandas==0.24.2
sklearn-crfsuite==0.3.6
python 3.5.4