Question-Answering-System-DocBot-

Given a Wikipedia article, generate N "good" questions and answer N questions. We won the 1st place in question-answering competition! See how we make it at Animorphemes FinalVideo or QA system - Question Generation

Status

This is a semester-long project for CMU 11611. We have a team of 4 people. The original code is on https://github.com/hexiaoyuhaha/Wiki-Question-Answering-System.

It can generate and answer yes-no questions and wh-questions like what/when/where/how/how many(much)/why.

I'm still working on it and trying to improve the performance.

stanford-corenlp-full-2016-10-31/: I'm working on python wrapper now. Hopefully it will be released within 2 weeks.Currently, using the following command to run the server on port 3456,
```
java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 3456 -timeout 15000
```
S10/: contains sample wikipedia dataset

article folder contains the sample articles, questions and answers

data folder contains only articles in htm, txt format
data/: contains training data and model information for answer type detection
.py files will be reorganized in the near future

install the stuff the requirement mentions, and run the stanford corenlp server on port 3456.
```
./run-ask.sh filename nquestions
```
```
./run-answer.sh filename questions
```

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
S10		S10
data		data
stanford-corenlp-full-2016-10-31		stanford-corenlp-full-2016-10-31
.DS_Store		.DS_Store
.gitattributes		.gitattributes
AT_detection.py		AT_detection.py
AnswerExtraction.py		AnswerExtraction.py
AnswerExtractionDependency.py		AnswerExtractionDependency.py
AnswerExtractionYesNo.py		AnswerExtractionYesNo.py
Article.py		Article.py
Article.pyc		Article.pyc
Helper.py		Helper.py
README.md		README.md
SearchEngine.py		SearchEngine.py
answer.py		answer.py
ask.py		ask.py
difficulty_classifier.py		difficulty_classifier.py
ginger_python2.py		ginger_python2.py
ginger_python2.pyc		ginger_python2.pyc
queryGenerator.py		queryGenerator.py
ques1.txt		ques1.txt
question_evaluator.py		question_evaluator.py
question_evaluator.pyc		question_evaluator.pyc
run-answer.sh		run-answer.sh
run-ask.sh		run-ask.sh
settings.py		settings.py
test-answer.py		test-answer.py
test.txt		test.txt
tregex_example.py		tregex_example.py