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🏦 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!）
A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
The source code of the paper "A Generative Model for Joint Natural Language Understanding and Generation" published at ACL 2020.
This blog describes one future path on how to use unstructured data for future text data apps.
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Updated Feb 14, 2020
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
Optimus: the first large-scale pre-trained VAE language model
A collection of implementations of adversarial domain adaptation algorithms
Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
A curated list of awesome self-supervised methods
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
qbetterk / DAML
Forked from WING-NUS/sequicitySource code for the ACL 2019 paper entitled "Domain Adaptive Dialog Generation via Meta Learning" by Kun Qian and Zhou Yu
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Multi-Task Deep Neural Networks for Natural Language Understanding
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:
深度学习聊天机器人资源集合 Awesome chatbot resource list
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)