Stand-alone service for fuzzy lookup of string labels of resources
HTML5 mobile client for YodaQA
A Question Answering system built on top of the Apache UIMA framework.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
Hub for preprocessing of questions for yodaQA
Semantic Text Similarity Dataset Hub
Python implementation of Shift-Reduce semantic parser: http://ceur-ws.org/Vol-1180/CLEF2014wn-QA-XuEt2014.pdf
Household Intelligent Assistant
WebQuestions QA Benchmarking Dataset
Compute Czech word synonyms based on distributional semantics
Twitter bot for YodaQA
A curated question answering research dataset of factoid questions
List of resources to get started with Deep Learning for NLP.
A question answering research dataset of movie-related factoids
Topical search for Twitter. See twokenize.py, emoticons.py for tokenization.
Chios was our framework for the Paul Allen Kaggle AI challenge for Aristo
RESTful API for querying JoBimText
A framework to build and train linguistics neural models
Measuring Google QA performance
Label numbers in text corpora for a dataset to train a numeric NER
Answer Sentence Selection using Deep Learning
Our paper published at POSTER2015
A scientific survey in state-of-art Question Answering
Demo server for TREC LiveQA competition
Extracts and cleans text from Wikipedia database dump and stores output in a number of files of similar size in a given directory. This is a mirror of the script by Giuseppe Attardi.
BlanQA the Practical QA Pipeline