https://github.com/davidgolub/simpleqa

SimpleQuestions code corresponding to publication at https://arxiv.org/abs/1604.00727
https://github.com/davidgolub/simpleqa

Last synced: 3 months ago
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SimpleQuestions code corresponding to publication at https://arxiv.org/abs/1604.00727

• Host: GitHub
• URL: https://github.com/davidgolub/simpleqa
• Owner: davidgolub
• License: bsd-3-clause
• Created: 2016-07-30T13:54:01.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2023-02-05T19:32:16.000Z (about 2 years ago)
• Last Synced: 2024-08-04T10:01:14.237Z (6 months ago)
• Language: Lua
• Size: 9.46 MB
• Stars: 88
• Watchers: 4
• Forks: 27
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: license.txt

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README

        
This contains the code corresponding to the publication Character-Level Question-Answering with Attention found at:

https://arxiv.org/abs/1604.00727 

To run the evaluation script first build the container:

# Pull the container

docker pull davidgolub/simpleqa

docker run -it davidgolub/simpleqa /bin/bash

# Then inside the container start the freebase server

cd /src/servers/FreebaseWebServer

pip install -r requirements.txt

cd src

python server.py & disown

# Run the evaluation script

cd /src/datasets

th scripts/evaluate_sq_fb_dataset_v2.lua

We hope this code helps researchers explore character-level encoder-decoder frameworks to semantic parsing with KBs and many other tasks in NLP! Email golubd [at] stanford.edu if you have any questions.