A dialogue bot for information access
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Updated
Jul 25, 2017 - Python
A dialogue bot for information access
Dialog policy optimization for task-oriented conversational agents in low resource setting using Reinforcement learning. The methodology is based on a novel probability based Self-play technique and a novel Reward based sampling technique that prioritizes failed dialogues over successful ones
User Simulation for Task-Completion Dialogues
User Simulation for Task-Completion Dialogues
A comprehensive survey for recent advances and trends in dialogue system
Conversation alignment for debugging dialogue-as-planning agents.
Dialogue-System
Goal-oriented open-ended counselling chatbot. Modular goals are added according to dialogue history and executed by priority via conditional prompts passed to an LLM. Uses Vicuna 13B as base model.
Semantic Textual Similarity and Dialogue System package for Python
MakeCents is a dialogue system designed to help coin collectors quickly query coin prices.
This is an AI bot which can converse with the user in natural language and provide common solutions to vehicle problems
The AVATAR project demonstrates virtual characters that play the role of a police officer or a witness in a police interview.
Code tor the SIGDIAL 2019 paper Flexibly-Structured Model for Task-Oriented Dialogues. It implements a deep learning end-to-end differentiable dialogue system model
A collection of document for ChatScript dialog engine
An empathetic counselling chatbot. Retrieval-based, uses finetuned LMs for emotion identification and to boost empathy, novelty and fluency of the retrieved responses. Backend: Python, frontend: Javascript.
ConvAI baseline solution
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog Manager
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.
User Simulation for Task-Completion Dialogues
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