https://github.com/snakeztc/NeuralDialog-LAED
공식 코드Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
Papers with Code 아카이브
Dialogue
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- 보존된 평가 기록
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Dialogue is notoriously hard to evaluate. Past approaches have used human evaluation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/snakeztc/NeuralDialog-LaRL
공식 코드https://github.com/snakeztc/NeuralDialog-ZSDG
공식 코드Zero-Shot Dialog Generation with Cross-Domain Latent Actions
https://github.com/snakeztc/SimDial
공식 코드Zero-Shot Dialog Generation with Cross-Domain Latent Actions
https://github.com/snipsco/automatic-data-generation
공식 코드Conditioned Query Generation for Task-Oriented Dialogue Systems
https://github.com/snipsco/nlu-benchmark
공식 코드https://github.com/snipsco/snips-nlu
공식 코드https://github.com/songhaoyu/BoB
공식 코드BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
https://github.com/songhaoyu/RCDG
공식 코드Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
https://github.com/speechbrain/speechbrain
공식 코드Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
https://github.com/speechbrain/speechbrain/tree/develop/recipes/timers-and-such
공식 코드Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
https://github.com/splend1d/t5lephone
공식 코드https://github.com/stanford-oval/dialogues
공식 코드Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation
https://github.com/stanford-oval/zero-shot-multiwoz-acl2020
공식 코드Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking
https://github.com/stevenzhb/cadge
공식 코드CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
https://github.com/sunnweiwei/metasim
공식 코드Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
https://github.com/sunnweiwei/user-satisfaction-simulation
공식 코드Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
https://github.com/suntea233/duallora
공식 코드Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation
https://github.com/suntea233/duetsim
공식 코드DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented Dialogues
https://github.com/superbooming/simtester
공식 코드Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
https://github.com/suvodipdey/bok
공식 코드BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation
https://github.com/suvodipdey/dialogen
공식 코드DialoGen: Generalized Long-Range Context Representation for Dialogue Systems
https://github.com/suvodipdey/fga
공식 코드https://github.com/sweetalyssum/Seq2Seq-DU
공식 코드https://github.com/synlp/chimed-gpt
공식 코드https://github.com/syoung7388/ccl
공식 코드Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
https://github.com/sz128/DAAT_SLU
공식 코드Data Augmentation with Atomic Templates for Spoken Language Understanding
https://github.com/taesunwhang/MVAN-VisDial
공식 코드https://github.com/tangg555/meddialog
공식 코드https://github.com/tangg555/sabart
공식 코드Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
https://github.com/teigenzhang/escot
공식 코드ESCoT: Towards Interpretable Emotional Support Dialogue Systems
https://github.com/telepathylabsai/OpenDF
공식 코드https://github.com/telepathylabsai/prompt-based-user-simulator
공식 코드In-Context Learning User Simulators for Task-Oriented Dialog Systems
https://github.com/terryqj0107/RiSAWOZ
공식 코드https://github.com/thu-coai/CDial-GPT
공식 코드https://github.com/thu-coai/ConvLab-2
공식 코드ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.