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Task-Oriented Dialogue Systems
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Achieving a pre-defined task through a dialog.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HCPLab-SYSU/Medical_DS
공식 코드End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
https://github.com/HLTCHKUST/Mem2Seq
공식 코드Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
https://github.com/HLTCHKUST/ke-dialogue
공식 코드Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
https://github.com/InitialBug/MarCo-Dialog
공식 코드https://github.com/Jiahuan-Pei/CoMemNN
공식 코드https://github.com/Jiahuan-Pei/multiwoz-mdrg
공식 코드Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
https://github.com/Leechikara/Incremental-Dialogue-System
공식 코드Incremental Learning from Scratch for Task-Oriented Dialogue Systems
https://github.com/LooperXX/DF-Net
공식 코드Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
https://github.com/Makbari1997/VAE-KPCA-HDBSCAN
공식 코드A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery
https://github.com/MiuLab/UserSimulator
공식 코드https://github.com/Nealcly/MuTual
공식 코드https://github.com/PaddlePaddle/Knover/tree/develop/projects/AG-DST
공식 코드https://github.com/RUCAIBox/TextBox
공식 코드TextBox 2.0: A Text Generation Library with Pre-trained Language Models
https://github.com/Tomiinek/MultiWOZ_Evaluation
공식 코드https://github.com/a-rain/state_management_empdialogue
공식 코드https://github.com/adamlin120/cldst
공식 코드An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker
https://github.com/alexa/alexa-with-dstc9-track1-dataset
공식 코드https://github.com/algoprog/syntod
공식 코드Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models
https://github.com/amazon-research/dialogue-meaning-representation
공식 코드Dialogue Meaning Representation for Task-Oriented Dialogue Systems
https://github.com/amazon-research/domain-knowledge-injection
공식 코드Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems
https://github.com/amazon-research/dse
공식 코드Learning Dialogue Representations from Consecutive Utterances
https://github.com/amazon-science/intent-aware-encoder
공식 코드Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
https://github.com/amzn/user-satisfaction-modeling
공식 코드Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
https://github.com/andreamad8/ToDCL
공식 코드https://github.com/andy194673/Joint-NLU-NLG
공식 코드A Generative Model for Joint Natural Language Understanding and Generation
https://github.com/asappresearch/abcd
공식 코드https://github.com/bosheng2020/globalwoz
공식 코드GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
https://github.com/budzianowski/multiwoz
공식 코드A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts
https://github.com/cambridgeltl/e2e_tod_toolkit
공식 코드https://github.com/cambridgeltl/response_reranking
공식 코드Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems
https://github.com/clemenciah/effects-of-dialogue-context
공식 코드https://github.com/clemenciah/llmcrowddialogueeval
공식 코드Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
https://github.com/coastalcph/dialog-rl
공식 코드Domain Transfer in Dialogue Systems without Turn-Level Supervision
https://github.com/cszmli/Rethink-RL-Sup
공식 코드Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
https://github.com/danifg/shiftreduce-top
공식 코드Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.