https://github.com/longhuei/caesar
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
https://github.com/longhuei/caesar
attention-model caesar coattention deep-learning dynamic-pointer machine-comprehension match-lstm natural-language-processing question-answering reading-comprehension recurrent-neural-networks
Last synced: 8 months ago
JSON representation
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
- Host: GitHub
- URL: https://github.com/longhuei/caesar
- Owner: loonghuey
- License: mit
- Created: 2017-03-23T01:45:10.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2018-08-01T02:53:44.000Z (over 7 years ago)
- Last Synced: 2025-08-06T16:50:50.817Z (9 months ago)
- Topics: attention-model, caesar, coattention, deep-learning, dynamic-pointer, machine-comprehension, match-lstm, natural-language-processing, question-answering, reading-comprehension, recurrent-neural-networks
- Language: Python
- Homepage: https://arxiv.org/abs/1803.01335
- Size: 8.67 MB
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Programming Assignment 4
Welcome to CS224N Project Assignment 4 Reading Comprehension.
The project has several dependencies that have to be satisfied before running the code. You can install them using your preferred method -- we list here the names of the packages using `pip`.
# Requirements
The starter code provided pressuposes a working installation of Python 2.7, as well as a TensorFlow 0.12.1.
It should also install all needed dependnecies through
`pip install -r requirements.txt`.
# Running your assignment
You can get started by downloading the datasets and doing dome basic preprocessing:
$ get_started.sh
Note that you will always want to run your code from this assignment directory, not the code directory, like so:
$ python train.py
This ensures that any files created in the process don't pollute the code directoy.