909 Open source projects that are alternatives of or similar to Multiwoz

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

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.

Statistical NLG for spoken dialogue systems

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

CakeChat: Emotional Generative Dialog System

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

PyTorch Implementation of NBA game summary generator.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

It is a question-generator model. It takes text and an answer as input and outputs a question.

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.

A dialogue bot for information access

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

enhance seq2seq model for open ended dialog generation

TOWARDS AN AUTOMATIC TURING TEST: LEARNING TO EVALUATE DIALOGUE RESPONSES

This repository contains a new generative model of chatbot based on seq2seq modeling.

ConvAI baseline solution

Paper list of NLP for recommender systems

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

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Global-Locally Self-Attentive Dialogue State Tracker

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)

This is a list of open-source projects at Microsoft Research NLP Group

FAQ-based Question Answering System

Node based dialogue system

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

Dialogue Plugin System for Unreal Engine | 🪞 Mirror of https://bit.ly/DlgSource

Pre-Trained Models for ToD-BERT

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

collect the open dialog corpus and some useful data processing utils.

Sequence to sequence learning using TensorFlow.

A FOSS Branching Game Dialogue Editor

A list of recent papers regarding dialogue generation

Conversational AI Reading Materials

A collection of research on knowledge graphs

NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager

This repo contains implementation of different architectures for emotion recognition in conversations.

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

A comprehensive reading list for Emotion Recognition in Conversations

State of the Art Natural Language Processing

PyTorch implementation of beam search decoding for seq2seq models

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．

Attention-based multimodal fusion for sentiment analysis

A Visual Dialogue Editor made using the Godot Engine

The Schema-Guided Dialogue Dataset

Pytorch seq2seq chatbot

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

Multiple implementations for abstractive text summurization , using google colab

ADAM - A Question Answering System. Inspired from IBM Watson

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

Resources for learning about Text Mining and Natural Language Processing

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Generating bash command from natural language https://arxiv.org/abs/1802.08979

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Collection of useful data science topics along with code and articles

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations