GitHub - Roshrini/NLP_question_answering_system_project: NLP Rule based question answering system

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
developset		developset
testset1		testset1
Readme.txt		Readme.txt
contributors.txt		contributors.txt
location.txt		location.txt
location_prepo.txt		location_prepo.txt
month.txt		month.txt
names.txt		names.txt
numberInWords.txt		numberInWords.txt
occupation.txt		occupation.txt
preposition.txt		preposition.txt
qa.py		qa.py
question-answers.py		question-answers.py
question_answers1.py		question_answers1.py
testset1-inputfile.txt		testset1-inputfile.txt
time.txt		time.txt

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Instructions to run our project on cade:

1) We are using Python3.5 and NLTK package
2) Please run following command and install additional packages.
/usr/local/stow/python/amd64_linux26/python-3.5.0/bin/python3 -m nltk.downloader -d /home/$USERNAME/nltk_data all

Replace $USERNAME with your cade username.

Open our folder. Go to question-answers folder where there are other files.

3) /usr/local/stow/python/amd64_linux26/python-3.5.0/bin/python3 question_answers.py ./developset/input.txt > Response.answer

After running above command, Response.answer file will be generated. This is our output file.

You can calculate accuracy on this file. We got accuracy as 25.89% on developset.