行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

🤖️ 基于 PyTorch 的任务型聊天机器人（支持私有部署以及 docker 部署）

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

🏦 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

Repository for Repurposing Entailment for Multi-Hop Question Answering Tasks, NAACL19

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

Dataset and baseline for ACL 2019 paper "XQA: A Cross-lingual Open-domain Question Answering Dataset"

中文自然语言推理数据集（A large-scale Chinese Nature language inference and Semantic similarity calculation Dataset）

Source code for the paper "Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network"

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

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Geometric Deep Learning Extension Library for PyTorch

Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019

Data and Code for Paper "TabFact: A Large-scale Dataset for Table-based Fact Verification"

Graph Convolutional Networks for Text Classification.

Must-read papers on graph neural networks (GNN)

Text-Based Graph Convolution Network

该仓库主要记录 NLP 算法工程师相关的面试题

Source code for ACL 2019 paper "GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification"

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".

Code for experiments on OpenBookQA from the EMNLP 2018 paper "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering"

Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm预训练模型）

人工智能论文关键点集结。This project aims to collect key points of AI papers.

Code for ACL19 paper: Dynamically Fused Graph Network for Multihop Reasoning

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).