wehub-resource-sync
33 lines
967 B
Markdown
33 lines
967 B
Markdown
# Tree-LSTM
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This is a re-implementation of the following paper:
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> [**Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks**](http://arxiv.org/abs/1503.00075)
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> *Kai Sheng Tai, Richard Socher, and Christopher Manning*.
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The provided implementation can achieve a test accuracy of 51.72 which is comparable with the result reported in the original paper: 51.0(±0.5).
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## Data
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The script will download the [SST dataset] (http://nlp.stanford.edu/sentiment/index.html) automatically, and you need to download the GloVe word vectors yourself. For the command line, you can use this.
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```
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wget http://nlp.stanford.edu/data/glove.840B.300d.zip
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unzip glove.840B.300d.zip
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```
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## Dependencies
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* PyTorch 0.4.1+
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* requests
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* nltk
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```
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pip install torch requests nltk
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```
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## Usage
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```
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python3 train.py --gpu 0
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```
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## Speed
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On AWS p3.2x instance, it can achieve 3.18s per epoch when setting batch size to 256.
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