nlp_structbert_faq-question-answering_chinese-gov-base

iic/nlp_structbert_faq-question-answering_chinese-gov-base

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FAQ问答是智能对话系统(特别是垂直领域对话系统)的核心业务场景，业务专家基于经验或数据挖掘的结果，将用户会频繁问到的业务知识以Q&A的形式维护起来，称之为知识库，当用户使用对话系统时，提问一个业务方面的问题，机器自动从知识库中找到最合适的回答。机器找答案的过程通常包含检索和排序两个阶段，针对FAQ检索和排序任务， FAQ问答模型以structbert-base-chinese为基础，使用简单的原型网络，通过海量数据预训练(亿级)、微调(百万级)，在几个公开的数据集上都取得

Embedding & Retrieval

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Model details

模型介绍

中文整理

FAQ问答任务介绍

此外，FAQ问答任务也可以看作是一种小样本学习任务，给定每个类少量的样本(supportset)，输出query的正确的类别，因此本模型也可以用于通用的小样本分类场景；

StructBERT FAQ问答-中文-政务领域-base模型**是在StructBERT FAQ问答-中文-通用领域-base模型基础上在政务领域FAQ数据上finetune得到，特别适用于金融领域FAQ问答任务，包括但不限于社保、公积金等场景；

FAQ问答开发实践**

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nlp_structbert_faq-question-answering_chinese-gov-base model download

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