Final Project of Applied Deep Learning (ADL Lectured by Yun-Nung Chen at NTU)
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Updated
Jan 18, 2022 - Python
Final Project of Applied Deep Learning (ADL Lectured by Yun-Nung Chen at NTU)
Open-Domain Chitchat System with Multi-Module Architecture for Enhanced Conversational AI
Choice Fusion as Knowledge for Zero-Shot Dialogue State Tracking (ICASSP 2023)
Multimodal TOD for Psychiatric Counseling
Dataset of dialogue state tracking (DST) in COVID topic.
Code base of In-Context Learning for Dialogue State tracking
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? (ACL2021)
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Source code for the implementation of Scalable Neural Dialogue State Tracking (G-SAT)
ASSIST: Towards Label Noise-Robust Dialogue State Tracking
Source code for "Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems"
Chatting-Day's Dialogue State Tracking (DST)
Code for "A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking"
A Generative Dialogue State Tracking Model
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems
code for CIKM'18 long paper, Explicit state tracking with semi-supervision for neural dialogue generation
Code for Li Zhou, Kevin Small. Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering. In NeurIPS 2019 Workshop on Conversational AI
Slot Self-Attentive Dialogue State Tracking
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset
Source code for Dialogue State Tracking with a Language Model using Schema-Driven Prompting
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