202 Open source projects that are alternatives of or similar to ADNC

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

Machine reading comprehension on clinical case reports

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

Collections of Chinese reading comprehension datasets

Flexible classic and NeurAl Retrieval Toolkit

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

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

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

AI Tool for querying natural language on tabular data.

question answering, reading comprehension toolkit

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

Ama Laravel? Torne se um Jedi e Ajude outros Padawans

Important paper implementations for Question Answering using PyTorch

Financial Domain Question Answering with pre-trained BERT Language Model

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

Implementation of conversational QA model: FlowQA (with slight improvement)

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

Natural Language Processing Question Answering Final Project

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

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

[[I'm slow at replying these days, but I hope to get back to answering questions eventually]] Ask me anything!

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

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

A relation-aware semantic parsing model from English to SQL

This repo is our research summary and playground for MRC. More features are coming.

PHPer case interview questions

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking.

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Tensorflow implementations of various Deep Semantic Matching Models (DSMM).

Entrypoint for all backend cape webservices

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)

PTT 八卦版問答中文語料

基于知识库的中文问答系统（biLSTM）

Question answering over Freebase (single-relation)

An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

FAQ-based Question Answering System

Implementation of Dynamic memory networks plus in Pytorch

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

🔍 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.

A collection of some materials of knowledge graph question answering

Bi-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.

The First Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2017)

Русскоязычный чатбот

Code for the TriviaQA reading comprehension dataset

Survey on Machine Reading Comprehension

【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

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

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Jack the Reader

📲 Bot to help solve HQ trivia

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Laravel Quiz and Exam System clone of udemy

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)

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)