https://github.com/IpastorSan/seq2seq-with-attention-OCR-translation
Neural Machine Translation by Jointly Learning to Align and Translate
Papers with Code 아카이브
Dialogue
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 21
- 평가표
- 1
- 보존된 평가 기록
- 1
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/Izecson/saml-nmt
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Izecson/sockeye-1.16.6
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/JRC1995/Abstractive-Summarization
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/JoegameZhou/mPanGu-Alpha-53
https://github.com/Jupaoqq/Jupaoqq_LaRL
https://github.com/KLUE-benchmark/KLUE-baseline
https://github.com/KhueNguyen312/Persona-Chatbot
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/Laiye-Tech/HDNO
https://github.com/LeBenchmark/Interspeech2021
https://github.com/LiangqunLu/DLForChatbot
https://github.com/MS-P3/code5/tree/main/gpt2
https://github.com/Maab-Nimir/Neural-Machine-Translation-by-Jointly-Learning-to-Align-and-Translate
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Matthewdowney18/Yelp_attention
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Matthewdowney18/Yelp_seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/MetaronWang/StackPropagation-SLU-TF
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
https://github.com/MichaelBehr/ECE_657
Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
https://github.com/MichaelBehr/Empathetic_Chatbot
Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
https://github.com/MindCode-4/code-10/tree/main/FDDE/train-fine
https://github.com/MindCode-4/code-8/tree/main/perceptual-score
Perceptual Score: What Data Modalities Does Your Model Perceive?
https://github.com/MindSpore-paper-code-3/code9/tree/main/textcnn
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/MindSpore-scientific-2/code-10/tree/main/MicAugment
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
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/MindSpore-scientific/code-12/tree/main/FDDE/train-fine
https://github.com/MindSpore-scientific/code-13/tree/main/MicAugment
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/MindSpore-scientific/code-5/tree/main/perceptual-score
Perceptual Score: What Data Modalities Does Your Model Perceive?
https://github.com/Minghong-Xu/Neural_Topical_Expansion_for_UPDS
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
https://github.com/MiuLab/SlotGated-SLU
https://github.com/MiuLab/TC-Bot
https://github.com/MoxinC/DST-SC
https://github.com/Nick-Zhao-Engr/Machine-Translation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Nilanshrajput/Intent_classification
https://github.com/PaddlePaddle/FleetX
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation
https://github.com/PaddlePaddle/Knover/tree/develop/projects/Q-TOD
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/ernie_gen/modeling.py
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/dialogue/plato-2
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.