200 Open source projects that are alternatives of or similar to Kbqa Ar Smcnn

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

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

Datasets, SOTA results of every fields of Chinese NLP

Conversational AI Reading Materials

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

Knowledge Base Question Answering using memory networks

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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

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

Medical question and answer dataset gathered from the web.

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

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

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

Chinese Question Classifier (Keras Implementation) on BQuLD

AI Tool for querying natural language on tabular data.

Self-contained Machine Learning and Natural Language Processing library in Go

Awesome & Marvelous Amas

🚁 保险行业语料库，聊天机器人

Machine reading comprehension on clinical case reports

😎 A curated list of the Question Answering (QA)

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

Flexible classic and NeurAl Retrieval Toolkit

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

A list of recent papers about Graph Neural Network methods applied in NLP areas.

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

🔎 Search the information available on a webpage using natural language instead of an exact string match.

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.

Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"

PHPer case interview questions

A Development Center for the ZeroNet. Tutorials on ZeroNet Zite Development, Collaboration, and Questions

Implementation of Dynamic memory networks plus in Pytorch

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。

Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"

A collection of research on knowledge graphs

Русскоязычный чатбот

https://arxiv.org/abs/1707.00836

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

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

基于多搜索引擎和深度学习技术的自动问答

Arabic Open Domain Question Answering System using Neural Reading Comprehension

An open source library for deep learning end-to-end dialog systems and chatbots.

Survey on Machine Reading Comprehension

End-To-End Memory Networks for bAbI question-answering tasks

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

🔍 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.

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。

📙 PHP 面试知识点汇总

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

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

Hadamard Product for Low-rank Bilinear Pooling

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

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

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

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

Vietnamese question answering system with BERT