320 Open source projects that are alternatives of or similar to Anyq

TOWARDS AN AUTOMATIC TURING TEST: LEARNING TO EVALUATE DIALOGUE RESPONSES

[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

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

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

The Schema-Guided Dialogue Dataset

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.

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Statistical NLG for spoken dialogue systems

A Visual Dialogue Editor made using the Godot Engine

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

A list of recent papers regarding dialogue generation

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

A FOSS Branching Game Dialogue Editor

Conversational AI Reading Materials

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

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

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

Node based dialogue system

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.

A collection of research on knowledge graphs

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

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

📲 Bot to help solve HQ trivia

Question answering over Freebase (single-relation)

A dialogue bot for information access

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 list of recent papers about Meta / few-shot learning methods applied in NLP areas.

A collection of some materials of knowledge graph question answering

LIDA: Lightweight Interactive Dialogue Annotator (in EMNLP 2019)

This repo is our research summary and playground for MRC. More features are coming.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

question answering, reading comprehension toolkit

Implementation of Dynamic memory networks plus in Pytorch

Efficient multi-effects text renderer for GameMaker Studio 2.3.1

Alex Dialogue Systems Framework

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

Machine reading comprehension on clinical case reports

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Paper list of NLP for recommender systems

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.

A comprehensive reading list for Emotion Recognition in Conversations

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

The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

Collections of Chinese reading comprehension datasets

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.

2019语言与智能技术竞赛-基于知识图谱的主动聊天

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

AI Tool for querying natural language on tabular data.

Русскоязычный чатбот

Modeling Multi-turn Conversation with Deep Utterance Aggregation (COLING 2018)

Important paper implementations for Question Answering using PyTorch

[[I'm slow at replying these days, but I hope to get back to answering questions eventually]] Ask me anything!

Survey on Machine Reading Comprehension