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Top 201 question-answering open source projects

Logic guided qa
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
Cdqa Annotator
⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.
Shift Ctrl F
🔎 Search the information available on a webpage using natural language instead of an exact string match.
Acl18 results
Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
Zeronet Dev Center
A Development Center for the ZeroNet. Tutorials on ZeroNet Zite Development, Collaboration, and Questions
Keras Question And Answering Web Api
Question answering system developed using seq2seq and memory network model in Keras
Kg Demo For Movie
从无到有构建一个电影知识图谱,并基于该KG,开发一个简易的KBQA程序。
Bert language understanding
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Awesome Neural Models For Semantic Match
A curated list of papers dedicated to neural text (semantic) matching.
Qa Snake
基于多搜索引擎和深度学习技术的自动问答
Awesome Qa
😎 A curated list of the Question Answering (QA)
Tapas
End-to-end neural table-text understanding models.
Memn2n Babi Python
End-To-End Memory Networks for bAbI question-answering tasks
Chat
基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话
Rust Bert
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Paper Reading
Paper reading list in natural language processing, including dialogue systems and text generation related topics.
Qa Survey
北航大数据高精尖中心研究张日崇团队对问答系统的调研。包括知识图谱问答系统(KBQA)和文本问答系统(TextQA),每类系统分别对学术界和工业界进行调研。
Cdqa
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Mac Network
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
Deep qa
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
Gnn4nlp Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Cogqa
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
Giveme5w1h
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
Informers
State-of-the-art natural language processing for Ruby
Spm toolkit
Neural network toolkit for sentence pair modeling.
Node Question Answering
Fast and production-ready question answering in Node.js
Covid Qa
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
Nlu sim
all kinds of baseline models for sentence similarity 句子对语义相似度模型
Anspress
AnsPress is the most complete question and answer system for WordPress. AnsPress is made with developers in mind, highly customizable. AnsPress provide an easy to use override system for theme
Ganswer
A KBQA system based on DBpedia.
Bert Squad
SQuAD Question Answering Using BERT, PyTorch
iamQA
中文wiki百科QA阅读理解问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署
squad-v1.1-pt
Portuguese translation of the SQuAD dataset
icebreaker
Web app that allows students to ask real-time, anonymous questions during class
MICCAI21 MMQ
Multiple Meta-model Quantifying for Medical Visual Question Answering
productqa
Product-Aware Answer Generation in E-Commerce Question-Answering
cdQA-ui
⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.
co-attention
Pytorch implementation of "Dynamic Coattention Networks For Question Answering"
tg2021task
Participant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration
qa
TensorFlow Models for the Stanford Question Answering Dataset
DVQA dataset
DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018
WikiQA
Very Simple Question Answer System using Chinese Wikipedia Data
XORQA
This is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".
query-focused-sum
Official code repository for "Exploring Neural Models for Query-Focused Summarization".
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