Cmrc2018A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
Dmn TensorflowDynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow
ForumAma Laravel? Torne se um Jedi e Ajude outros Padawans
Tensorflow DsmmTensorflow implementations of various Deep Semantic Matching Models (DSMM).
Kb Qa基于知识库的中文问答系统(biLSTM)
FlowqaImplementation of conversational QA model: FlowQA (with slight improvement)
AnyqFAQ-based Question Answering System
SimpletransformersTransformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Awesome KgqaA collection of some materials of knowledge graph question answering
OpenqaThe source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".
TriviaqaCode for the TriviaQA reading comprehension dataset
Questgen.aiQuestion generation using state-of-the-art Natural Language Processing algorithms
Rat SqlA relation-aware semantic parsing model from English to SQL
Hq bot📲 Bot to help solve HQ trivia
Improved Dynamic Memory Networks Dmn PlusTheano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)
AwesomemrcThis repo is our research summary and playground for MRC. More features are coming.
Rczooquestion answering, reading comprehension toolkit
DenspiReal-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
Nspm🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Question answering modelsThis repo collects and re-produces models related to domains of question answering and machine reading comprehension
Question AnsweringTensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
MedquadMedical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
Knowledge Aware ReaderPyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"
ClicrMachine reading comprehension on clinical case reports
Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Bi Att FlowBi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
TableqaAI Tool for querying natural language on tabular data.
Ama[[I'm slow at replying these days, but I hope to get back to answering questions eventually]] Ask me anything!
FlexneuartFlexible classic and NeurAl Retrieval Toolkit
NeuronblocksNLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Vqa TensorflowTensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
Happy TransformerA package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models
Sentence SimilarityPyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
Neural kbqaKnowledge Base Question Answering using memory networks
Simple Qa Emnlp 2018Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"
AmasAwesome & Marvelous Amas
ChinesenlpDatasets, SOTA results of every fields of Chinese NLP
SoqalArabic Open Domain Question Answering System using Neural Reading Comprehension
Farm🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Wsdm2018 hyperqaReference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
Bidaf KerasBidirectional Attention Flow for Machine Comprehension implemented in Keras 2
MullowbivqaHadamard Product for Low-rank Bilinear Pooling