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Rewritten on Nov 14, 2017 Due to Change of Topic

CS297 Proposal

Question Answerer

Bo Li (bo.nov29@gmail.com)

Advisor: Dr. Chris Pollett

Description:

Given a passage and a question, the question answerer outputs an answer by choosing a subset of the passage. We will use a reading comprehension dataset SQuAD[1] in this project.

Schedule:

Week 1 - 4: 08/20 - 09/24Deliverable #1 : Calculation of Back Propagation
Week 5 - 11: 09/25 - 11/12Deliverable #2 : Implementation of Word Embedding
Week 12: 11/13 - 11/19Deliverable #3 : Implementation of Preprocessing Data and Setting up environment
Week 13 - 14: 11/20 - 12/03Deliverable #4 : Implementation of match-LSTM[2]
Week 15 - 16: 12/04 - 12/17 Deliverable #5 : CS297 report

Deliverables:

The full project will be done when CS298 is completed. The following will be done by the end of CS297:

1. Calculation of Back Propagation

2. Implementation of Word Embedding

3. Implementation of Preprocessing Data and Setting up environment

4. Implementation of match-LSTM in [2]

5. CS297 report.

References:

  1. https://rajpurkar.github.io/SQuAD-explorer/
  2. Wang, Shuohang, and Jing Jiang. "Machine comprehension using match-lstm and answer pointer." arXiv preprint arXiv:1608.07905 (2016).