A chatbot web app for the KBQA system implemented inhttps://github.com/NLP-Guild/knowledge-based-QA-for-diagnosis flaskknowledge-graphflask-applicationquestion-answering UpdatedSep 29, 2022 CSS R3DDY97/CODE-BOOK Star0 Code Issues Pull requests ...
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 ...
【2019斯坦福CS224N笔记】(10)Question Answering csdn:https://blog.csdn.net/abcgkj github:https://github.com/aimi-cn/AILearners [toc] 问答系统(简称QA),是近几年比较火的NLP应用之一,常见的应用有:问答机器人、智能客服等。本节内容将主要讲解了斯坦福所提出的Stanford Attentive Reader模型,和简要分析一...
之前有个python包叫cdqa,https://github.com/cdqa-suite/cdQA, 不过已经不维护了。新发布的包叫haystack,https://github.com/deepset-ai/haystack,作者是德国柏林的deepset.ai。这里简单记录下学习过程。 环境基线 Fedora 29 python 3.7.5 docker 18.09.9 torch 1.10.2 farm-haystack 1.13.0 haystack的依赖是Re...
0. Open-Domain Question Answering 开放领域问答是 NLP, IR 长期研究的问题。传统 QA 系统一般被构建为流水线系统 Pipeline,由不同组件组成,如问题处理、文档/段落检索和答案处理。随着神经阅读理解的发展,研究者结合传统信息抽取技术和神经阅读理解模型,甚至直接采用端到端训练的方式,实现了新的 ODQA 系统。
Code:https://github.com/facebookresearch/LAMA 论文简述:本文深入分析了在一系列最先进的预训练语言模型中已经存在(没有微调)的关系知识。我们发现:(1)在没有微调的情况下,BERT包含了与传统NLP方法相竞争的关系知识,后者可以访问oracle知识;(2)BERT在有监督基线的开放域问题回答上也做得非常好,(3)通过标准语言...
View PDF Download full issue Search ScienceDirect Outline Abstract Keywords 1. Introduction 2. Background 3. The World Avatar Infrastructure 4. Results and discussion 5. Conclusions and future directions Novelty and Significance Statement CRediT authorship contribution statement Acknowledgments...
【CS224n】(lecture11)Question Answering 学习总结 (1)陈丹琦讲到自己17年在DrQA问答系统,也算是领航人,将Open-domain (textual) question answering分为两部分:Retriever和Reader部分,前者筛选出k个维基百科文档,后者再利用BiDAF等模型进行进一步筛选出QA问答的answer。
Recent studies in this field typically use widely available question-answering (QA) datasets (in English) and neural models to train and build these QG systems. As lower-resourced languages (e.g. Portuguese) lack large-scale quality QA data, it becomes a significant challenge to experiment with...
Question-Answer Meaning Representation. Contribute to uwnlp/qamr development by creating an account on GitHub.