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Develop QA system to answer questions on stories from Aesop's Fables and the Blogs Corpus using word overlaps, distance measures, dependency parses, WordNet and Word2vec pretrained models.

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Question-Answering-System

Develop QA system to answer questions on stories from Aesop's Fables and the Blogs Corpus using word overlaps, distance measures, dependency parses, WordNet and Word2vec pretrained models.

  1. Download or clone the repository.
  2. You will need Python 3.5 and Google's pre-trained models(http://mccormickml.com/2016/04/12/googles-pretrained-word2vec-model-in-python/) to run this code
  3. Use the following command to run the system from command prompt      "python Question_Answering.py hw8_test_process_stories.txt"    

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Develop QA system to answer questions on stories from Aesop's Fables and the Blogs Corpus using word overlaps, distance measures, dependency parses, WordNet and Word2vec pretrained models.

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