Course Project for CSC 522 ALDA. Tensorflow Glove from https://github.com/GradySimon/tensorflow-glove. Glove data from https://github.com/stanfordnlp/GloVe CoreNLP from https://github.com/stanfordnlp/CoreNLP
Notes for understanding the process. https://github.com/stanfordnlp/cs224n-winter17-notes
Keras: https://github.com/fchollet/keras Tflearn: https://github.com/tflearn/tflearn
SQuAD:https://rajpurkar.github.io/SQuAD-explorer/ bAbI:https://research.fb.com/downloads/babi/
Papers:
- https://arxiv.org/abs/1606.05250 - SQuAD baseline Logistic Regression
- https://arxiv.org/abs/1611.01603 -BiDAF
- https://arxiv.org/abs/1608.07905 -Match LSTM
Individual Contributions: CoreNLP basic testing for annotation,RDF vs LSTM comparison. LSTM Model building, Training and compilation of results. Body of report and poster. Conclusions about model and future work. - Aishwarya Bhandare & Hariharan Ramshankar SQuAD Data analysis, data cleaning and preprocessing, embedding generation, model flowchart, introduction, dataset analysis in report and poster - Mukundram Muraliram & Shankara Narayanan Sethuraman Configuration environment management, bAbi dataset preprocessing and model training code, test result analysis and reporting - Sumer Vivek Shende Testing Sequence Matching approach, dataset analysis, literature survey-Jeremy Vanderwall
Note: The times and authors of commits to the git repo are not an indication of the timeline of our project. The original git repo had the name CSC-522-ALDA-IDLE-Minds, which did not fit in with the guidelines, and as we couldn't rename it, we created a new repo.