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/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/plato-xl
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation
https://github.com/Polly42Rose/SiriusIntentPredictionSlotFilling
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
https://github.com/Priyanshiguptaaa/Intent_Recognition_BERT
https://github.com/QData/TextAttack/blob/master/textattack/transformations/sentence_transformations/back_transcription.py
https://github.com/QwenLM/Qwen2.5-Omni
MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
https://github.com/Rabahjamal/Visual-Question-Answering
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/RasaHQ/rasa
Rasa: Open Source Language Understanding and Dialogue Management
https://github.com/RezisEwig/unity_speech
https://github.com/Rishabbh-Sahu/intent_and_slot_classification
https://github.com/SarthakVaswani/ace_bot
https://github.com/ScientiaEtVeritas/NeuralMachineTranslation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/SeanCherngTW/NTCIR-STC3-NDDQsubtask
Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures
https://github.com/Sharpiless/Versailles-text-generation-with-paddlepaddle
https://github.com/ShiminLei/LA-Dialog-Generation-System
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
https://github.com/Shubham-SK/TreeOverAte
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Shubham-SK/kronos
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/ShuoZhangXJTU/PEDP
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
https://github.com/SimonDele/Glossary
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/SkyOL5/VQA-CoAttention
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/SubhamIO/Emotion-Recognition-in-Conversation
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
https://github.com/SwordYork/DCNMT
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/THUNLP-MT/THUMT
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/TellinaTool/nl2bash
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/ThilinaRajapakse/simpletransformers
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/TimKettenacker/puffin
An Ontology-Based Dialogue Management System for Banking and Finance Dialogue Systems
https://github.com/Tixierae/gow_tools
https://github.com/TonyNemo/UBAR-MultiWOZ
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/USArmyResearchLab/ARL-SCOUT
Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue
https://github.com/VachanVY/gpt.jax
https://github.com/Vergangenheit/Conv-AI
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/WillSuen/VQA
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/WolfNiu/AdversarialDialogue
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
https://github.com/WolfNiu/polite-dialogue-generation
https://github.com/YufanPaPa/GAN_SSN
https://github.com/Yuqing2018/D3Q_Python3
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.