wehub-resource-sync
33 lines
974 B
Markdown
33 lines
974 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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## Dependencies
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* MXNet nightly build
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* requests
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* nltk
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```bash
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pip install mxnet --pre
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pip install requests nltk
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```
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## Data
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The script will download the [SST dataset] (http://nlp.stanford.edu/sentiment/index.html) and the GloVe 840B.300d embedding automatically if `--use-glove` is specified (note: download may take a while).
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## Usage
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```
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DGLBACKEND=mxnet python3 train.py --gpu 0
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```
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## Speed Test
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See https://docs.google.com/spreadsheets/d/1eCQrVn7g0uWriz63EbEDdes2ksMdKdlbWMyT8PSU4rc .
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## Note
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The code can work with MXNet 1.5.1
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