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PairCNN-Ranking
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PairCNN-Ranking
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# PairCNN-Ranking A pytorch implementation of [Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks](http://disi.unitn.it/~severyn/papers/sigir-2015-long.pdf) This version is implemented with reference of [zhangzibin](https://github.com/zhangzibin/PairCNN-Ranking) ## Training Data As **train.txt** and **test.txt** in **./data** dir, data sample is separated by line separator, and the sample itself is splited by comma: query, document, label. And the example data is created by me to test the code, which is not real click data. ## Usage ```bash python main.py help ``` ## Project Structure The file holder structure of this project is: ``` ├── checkpoints/ ├── data/ │ ├── __init__.py │ └── dataset.py ├── models/ │ ├── __init__.py │ ├── initfunctional.py │ ├── BasicModule.py │ └── PairCNN.py ├── utils/ │ ├── __init__.py │ └── visualize.py ├── __init__.py ├── config.py ├── main.py ├── requirements.txt ├── README.md ```
