GitHub repository: to314as/Question-answering-with-Wikipedia---NLP-project-2019
Primary language: Jupyter Notebook
Description: We propose and explore a QA system based on data form Wikipedia and the Stanford Question Answering Dataset. We show different approaches to document retrival as well as reading. Including tf-idf and term frequency for retrival. Language models such as word2vec/glove, infersent(sentence2vec by fb research),... Furthermore to we apply different supervised as well as unsupervised techniques for the question answering aspect.