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All Projects → chatopera → Insuranceqa Corpus Zh

chatopera / Insuranceqa Corpus Zh

Licence: gpl-3.0
🚁 保险行业语料库，聊天机器人

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machine-learningnatural-language-processingdatasetchatbotquestion-answeringnatural-language-understandingcorpus

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保险行业语料库

详细文档

大家怎么说

看了下您的项目，我觉得这份数据可以用于保险领域的中文问答研究，对于较短的问题翻译很准确，长度较长的答案翻译就有些不连贯的问题，大体上关键词信息和一些上下文信息都有，我觉得是份很好的中文语料。 - fssqawj, East China Normal University

Excellent work! - rgtjf, East China Normal University

基线

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.

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

下载文档了解更多关于DeepQA-1的实现和Baseline。

声明

声明1 : insuranceqa-corpus-zh

本数据集使用翻译 insuranceQA而生成，代码发布证书 GPL 3.0。数据仅限于研究用途，如果在发布的任何媒体、期刊、杂志或博客等内容时，必须注明引用和地址。

InsuranceQA Corpus, Hai Liang Wang, https://github.com/Samurais/insuranceqa-corpus-zh, 07 27, 2017

任何基于insuranceqa-corpus衍生的数据也需要开放并需要声明和“声明1”和“声明2”一致的内容。

声明2 : insuranceQA

此数据集仅作为研究目的提供。如果您使用这些数据发表任何内容，请引用我们的论文：Applying Deep Learning to Answer Selection: A Study and An Open Task。Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou @ 2015

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