https://github.com/bcol23/EXAM-MXNet

An unofficial MXNet implementation of the AAAI-19 paper "Explicit Interaction Model towards Text Classification"
https://github.com/bcol23/EXAM-MXNet

aaai2019 mxnet text-classification

Last synced: 2 months ago
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An unofficial MXNet implementation of the AAAI-19 paper "Explicit Interaction Model towards Text Classification"

• Host: GitHub
• URL: https://github.com/bcol23/EXAM-MXNet
• Owner: bcol23
• License: mit
• Created: 2019-01-21T03:09:06.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-05-31T11:08:57.000Z (over 5 years ago)
• Last Synced: 2024-08-01T22:41:47.526Z (5 months ago)
• Topics: aaai2019, mxnet, text-classification
• Language: Python
• Size: 6.84 KB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• Awesome-MXNet - EXAM

README

        
# EXAM-MXNet

An unofficial MXNet implementation of [Explicit Interaction Model towards Text Classification](https://arxiv.org/pdf/1811.09386.pdf)

Official one is [here](https://github.com/NonvolatileMemory/AAAI_2019_EXAM).

## Requirements

- mxnet

- numpy

- pandas

- scikit-learn

- tqdm

## Instruction

Put the [Zhihu Kanshan Cup](https://biendata.com/competition/zhihu/) data (specifically 'question_train_set.txt', 'question_topic_train_set.txt', 'topic_info.txt' and 'word_embedding.txt') into the *data* folder or specify the path.

Run

```

$ python exam.py

```

Alternatively you can use the Jupyter notebook.