Tools for processing Reddit conversations data
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Updated
Mar 10, 2017 - Python
Tools for processing Reddit conversations data
seq2seq models
LT2216 Dialogue Systems, final project: A dialogue game using RASA. The chatbot asks the user to find "the odd one out" of four items.
ReflectiveMultiChat is an AI chatbot designed to generate multiple potential responses before reflecting on them to select the most effective one.
This is a repository that shows how to use entities through the rasa framework. This application is a pokemon finder.
Final project for LT2319 Dialogue Systems 2: a system you can ask for various information on different countries.
Rasa based Dialog System in Formula1 domain - 🎙 Language Understanding Systems (2020-2021)
This is drafts of the model, that doublechecks the information with Wikipedia and cooperate with ChatGPT to provied best response
A Deep Reinforcement Learning technique incorporating Actor Critic framework and hybrid value networks to improve the dialogue policy.
A dummy dialog dialog system implementing traditional Reinforcement Learning algorithms like Q-Leaning and SARSA
Dataset and code for "Converse, Focus and Guess - Towards Multi-Document Driven Dialogue" (AAAI2021)
The final project for Dialogue Systems Course LT2216
A Dialogue system that is able to recommend movies based on user preferences like director, starring actor/actress and genre. It can also answer queries about recommended movies. It accesses data via a the TMDB API.
Deep Evaluation for Response Predictors
A multiturn seq2seq chatbot implement by pytorch with Cornell Movie-Dialogs Corpus.
The offical PyTorch implementation of the models used in DialGen paper.
Creating a seq2seq dataset from OpenSubtitles data
An episodic, multi-model, servable framework for Dialog Systems
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