Insuranceqa Corpus Zh
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Usage
Install
pip install insuranceqa_data
Load data
>>> import insuranceqa_data as insuranceqa
>>> train_data = insuranceqa.load_pairs_train()
Demo & Baseline
Baseline model for insuranceqa-corpus-zh
mini-batch size = 100, hidden_layers = [100, 50], lr = 0.0001.
Epoch 25, total step 36400, accuracy 0.9031, cost 1.056221.
- fssqawj, East China Normal University
Excellent work! - rgtjf, East China Normal University
Deps
Python3+
pip install -r Requirements.txt
Run
A very simple network as baseline model.
python3 deep_qa_1/network.py
python3 visual/accuracy.py
python3 visual/loss.py
insuranceQA GPL 3.0
InsuranceQA Corpus, Hai Liang Wang, https://github.com/Samurais/insuranceqa-corpus-zh, 07 27, 2017
2 : insuranceQA
Applying Deep Learning to Answer Selection: A Study and An Open TaskMinwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou @ 2015
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