zengyan-97/Transformer-DST
A Generative Dialogue State Tracking Model
This helps researchers and developers working on conversational AI to improve how chatbots understand user requests. It takes in conversational data, specifically multi-turn dialogues, and outputs predictions about the user's intent and preferences throughout the conversation. Anyone building or evaluating dialogue systems would find this useful for developing more intelligent virtual assistants.
No commits in the last 6 months.
Use this if you are a conversational AI researcher or developer focused on building more accurate and robust dialogue state tracking models for multi-turn conversations.
Not ideal if you need a pre-built, ready-to-deploy conversational AI assistant or a tool for general natural language processing tasks outside of dialogue state tracking.
Stars
22
Forks
5
Language
Python
License
—
Category
Last pushed
Jun 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/zengyan-97/Transformer-DST"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
gunthercox/chatterbot-corpus
A multilingual dialog corpus
EdinburghNLP/awesome-hallucination-detection
List of papers on hallucination detection in LLMs.
jfainberg/self_dialogue_corpus
The Self-dialogue Corpus - a collection of self-dialogues across music, movies and sports
jkkummerfeld/irc-disentanglement
Dataset and model for disentangling chat on IRC
Tomiinek/MultiWOZ_Evaluation
Unified MultiWOZ evaluation scripts for the context-to-response task.