200 Open source projects that are alternatives of or similar to Flowqa

Important paper implementations for Question Answering using PyTorch

A curated list of papers dedicated to neural text (semantic) matching.

Flexible classic and NeurAl Retrieval Toolkit

😎 A curated list of the Question Answering (QA)

A relation-aware semantic parsing model from English to SQL

End-to-end neural table-text understanding models.

Tensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering

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

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)

Knowledge Base Question Answering using memory networks

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

Awesome & Marvelous Amas

Neural network toolkit for sentence pair modeling.

Theano 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)

API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

Datasets, SOTA results of every fields of Chinese NLP

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

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

SQuAD Question Answering Using BERT, PyTorch

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

A question answering system for RDF knowledge graphs.

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Portuguese translation of the SQuAD dataset

Medical question and answer dataset gathered from the web.

Multiple Meta-model Quantifying for Medical Visual Question Answering

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

🔮 Answering multiple choice questions with Language Models.

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

question answering, reading comprehension toolkit

Participant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration

Vietnamese question answering system with BERT

DVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018

Machine reading comprehension on clinical case reports

Text2Text: Cross-lingual natural language processing and generation toolkit

⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.

Official code repository for "Exploring Neural Models for Query-Focused Summarization".

A question answering dataset for machine comprehension of spoken content

Conversational AI Reading Materials

Machine Comprehension Train on MSMARCO with S-NET Extraction Modification

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.

StarGraph (aka *graph) is a graph database to query large Knowledge Graphs. Playing with Knowledge Graphs can be useful if you are developing AI applications or doing data analysis over complex domains.

Chinese Question Classifier (Keras Implementation) on BQuLD

Environment that can be used to evaluate reasoning capabilities of artificial agents

Collections of Chinese reading comprehension datasets

Question answering system developed using seq2seq and memory network model in Keras

FAQ-based Question Answering System

A collection of some materials of knowledge graph question answering

Question generation using state-of-the-art Natural Language Processing algorithms

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Русскоязычный чатбот

A collection of research on knowledge graphs