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Type: User
Bio: NLP, conversational recommendation, knowledge-grounded conversation, task-oriented dialogue.
Type: User
Bio: NLP, conversational recommendation, knowledge-grounded conversation, task-oriented dialogue.
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
Multi-Level Memory for Task Oriented Dialogs
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Fully Statistical Neural Belief Tracker (Mrkšić and Vulić, ACL 2018)
PyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
复盘所有NLP比赛的TOP方案,只关注NLP比赛,持续更新中!
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
YSDA course in Natural Language Processing
Natural Language Processing Tasks and References
Common NLP Tasks, Evaluation, Corpus/Dataset, Papers with state-of-the-art results
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Sample Codes for NNDL
《神经网络与深度学习》 Neural Network and Deep Learning
One-shot Learning with Memory-Augmented Neural Networks
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
PArallel Distributed Deep LEarning (PaddlePaddle核心框架,高性能单机、分布式训练和跨平台部署)
a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
Personalizing Dialogue Agents via Meta-Learning
Paper reading list in natural language processing, including dialogue system, text summarization, topic modeling, etc.
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
The code of ACL 2020 paper "You Impress Me: Dialogue Generation via Mutual Persona Perception"
A Paper List for Personalized, Emotional, and stylized Dialog
Dataset and models for the paper Personalization in Goal-oriented Dialog
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.