Kaggle AI2 Challenge Repository

• http://www.nltk.org/
• http://scikit-learn.org/stable/
• https://github.com/danielfrg/word2vec

• http://aclweb.org/aclwiki/index.php?title=RTE_Knowledge_Resources#Publicly_available_Resources
• http://www.ck12.org/
• https://wikipedia.readthedocs.org/en/latest/
• https://pypi.python.org/pypi/wikitools
• Simple Wikipedia - See if we can download the entire thing and build a structured database.
• https://en.wikipedia.org/wiki/Wikipedia:Database_download

For a purpose of a starting ground, we can emulate the architecture of IBM's Watson. There's already a bundle of information, references and papers regarding its architecture and algorithms.

• https://www.quora.com/Whats-the-system-architecture-of-the-IBM-Watson
• https://www.quora.com/Did-IBM-publish-papers-describing-the-algorithms-used-in-IBM-Watson

• http://www.slideshare.net/numenta/2014-10-17-numenta-workshop?ref=http://numenta.com/learn/principles-of-hierarchical-temporal-memory.html
• http://www.slideshare.net/asfak/htm-theory
• http://numenta.org/resources/HTM_CorticalLearningAlgorithms.pdf