Automatic-Short-Answer-Grading

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Automatic-Short-Answer-Grading

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Scoring text answers

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# ASAG

ASAG or Automated Short Answer Grading is an application that can be used to automatically correct and grade student answers given question and reference answer. It will give out a score out of 10 and based on that classify the answer as correct, partially correct or incorrect.

## Installation

- Install all the dependencies specified in requirements.txt .
- Download the pre-trained model weights of word2vec using this [link](http://wikipedia2vec.s3.amazonaws.com/models/en/2018-04-20/enwiki_20180420_100d.txt.bz2), unzip the file and place the 'enwiki_20180420_100d.txt' file in the main directory
- Download the ELMO tensorflow-hub module (Download using this [link](https://tfhub.dev/google/elmo/2?tf-hub-format=compressed)), unzip it and place the contents in a folder named 'elmo_module' in the root directory. 
- Download the Universal Sentence Encoder tensorflow-hub module (Download using this [link](https://tfhub.dev/google/universal-sentence-encoder/2?tf-hub-format=compressed)), unzip it and place the contents in a folder named 'uni_encoder' in the root directory.

## Usage

- Flask server is there in app.py which is linked to the features_module file which does the feature generation and model training part.
Run the app.py to create a local host on your machine.
- Have added auto-sag.ipynb for easy function debugging and comparing feature importances accross instance and global level.

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