description: natural language processing question answering system

To run prase.py file, please follow the steps (Only the first two steps are relevant. i.e. download the stanford core nlp library and running the server in terminal) and run the following command in the terminal:

java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -annotators "tokenize,ssplit,pos,lemma,parse,sentiment" -port 9000 -timeout 30000

Here is a list of python modules I am using:

# python default library
import sys
import operator
import re
import os
import random

# project modules
from bin_questions import BinQuestion
from parse import Parse
from tokenize import Tokenize

# installed packages
import nltk
from nltk.tree import Tree as Tree
from nltk.corpus import wordnet
from nltk import word_tokenize, pos_tag, ne_chunk
from stanfordcorenlp import StanfordCoreNLP

from pattern.en import conjugate
from pattern.en import tenses

The command line for question generation takes 2 parameters: a directory of a .txt file and a number specifying how many questions to be generated.

./ask einstein.txt 20

The command line for answering takes 2 parameters: one directory of .txt file (source) and a directory of .txt file that contains a list of questions. The program will return a list of answer corresponding to each question.

./answer einstein.txt questions.txt

I have explained the big picture (definitions of the problem, syntatic versus semnatics method, parsing approach, type of grammars, overall architecture of code, possible improvements) in the following Youtube Video: https://youtu.be/ohM7D21C_8Q or for your convenience: you may click here

Collaborated With Angela Liang.