This document summarizes a presentation about the Allen AI Science Challenge and DeepHack Q&A competition. It discusses the stages and participants in the competitions, as well as the datasets used for training models. It then describes several approaches the team tried, including using Lucene, word2vec combinations, averaging neural networks, and reading neural networks. It discusses lessons learned, including the importance of starting small, corruption for siamese networks, learning curves in NLP, starting early, and teamwork.