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adam_qas

ADAM - A Question Answering System. Inspired from IBM Watson

automatic-question-generation

Learning to generate gap-filling questions

build-knowledge-base-with-domain-specific-documents

Create a knowledge base using domain specific documents and the mammoth python library

deepdive

DeepDive

deeplearning_workbook

drqa

Reading Wikipedia to Answer Open-Domain Questions

excalibur

A web interface to extract tabular data from PDFs

in-depth-question-classification-using-convolutional-neural-networks

In this project, we develop a question classifier that used the UIUC's question classification data set to train a convolutional neutral network to classify among 50 classes. With our model, we were able to achieve results that are on par with the current methods on the primary categories, while for the secondary categories, our model outperformed the state-of-the-art results for this data set.

learning_to_retrieve_reasoning_paths

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

machine_learning_examples

A collection of machine learning examples and tutorials.

nlp2017_assignment

Natural Language Processing Assignment - A Simple Reply System

prizypricer

question-classification

question-classification-1

Classifying questions from UIUC's CogComp QC Dataset

question-classification-2

question classification for the dataset - [ http://cogcomp.org/Data/QA/QC/ ]. Understanding and categorising the questions is very useful while building a chat bot or a QA bot.

rasa-ui

Rasa UI is a web application for the Rasa NLU backend

resume

sphinixtest

This is the test repository for Sphinix.

stqa

Short text question answering

tapas

End-to-end neural table-text understanding models.

topic-based-question-generation