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

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

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

FAQ-based Question Answering System

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.

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

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

Awesome & Marvelous Amas

📙 PHP 面试知识点汇总

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

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

OpenData in insurance area for Machine Learning Tasks, 保险行业语料库

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。

🔍 Transformers at scale for question answering & search

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

基于多搜索引擎和深度学习技术的自动问答

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

😎 A curated list of the Question Answering (QA)

Paper reading list in natural language processing, including dialogue system, text summarization, topic modeling, etc.

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

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

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

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

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

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

ADAM - A Question Answering System. Inspired from IBM Watson

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

Neural network toolkit for sentence pair modeling.

all kinds of baseline models for sentence similarity 句子对语义相似度模型

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