Papers with Code 아카이브
Task-Oriented Dialogue Systems
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/Laiye-Tech/HDNO
https://github.com/MindSpore-scientific-2/code-5/tree/main/dora
DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficient Context
https://github.com/MiuLab/TC-Bot
https://github.com/PaddlePaddle/Knover/tree/develop/projects/Q-TOD
https://github.com/Zhihan1996/User-sim
https://github.com/alexa/alexa-with-dstc10-track2-dataset
"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations
https://github.com/avidale/arxivarius
Training Neural Response Selection for Task-Oriented Dialogue Systems
https://github.com/bcaitech1/p3-dst-chatting-day
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
https://github.com/boru-roylu/theta
https://github.com/cambridgeltl/multi3woz
https://github.com/dirtdust/TC-Bot-python3
https://github.com/durashi/Dialog_policy_network_for_low_resource_setting
https://github.com/facebookresearch/accentor
https://github.com/fighting41love/funNLP
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
https://github.com/garygsw/Nav-NNDial
https://github.com/jerrylsu/TC-Bot
https://github.com/kolk/MODELING-ASR-AMBIGUITY-FOR-NEURAL-DIALOGUE-STATE-TRACKING-USING-WORD-CONFUSION-NETWORKS
https://github.com/lefteris12/multitask-schema-guided-dst
A Multi-Task BERT Model for Schema-Guided Dialogue State Tracking
https://github.com/lexmen318/metaCAT
https://github.com/mangonihao/GLMP_Annotation
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
https://github.com/markWJJ/TC-Bot
https://github.com/para-zhou/dstc9-posttraining
Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access
https://github.com/rahmanidashti/acqsurvey
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues
https://github.com/saketdingliwal/Few-Shot-DST
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
https://github.com/scoyer/fg2seq
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
https://github.com/siat-nlp/TTOS
https://github.com/silviatti/prompt-based-user-simulator
In-Context Learning User Simulators for Task-Oriented Dialog Systems
https://github.com/stanford-oval/genienlp
Contextual Semantic Parsing for Multilingual Task-Oriented Dialogues
https://github.com/tanayz/TC-Bot-py3
https://github.com/yachae/hello-world
https://github.com/ysglh/Task-Oriented-Dialogue-Dataset-Survey
A Network-based End-to-End Trainable Task-oriented Dialogue System
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.