https://github.com/para-zhou/dstc9-posttraining
Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access
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/passing2961/personachatgen
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/pengbaolin/soloist
Data Augmentation for Spoken Language Understanding via Pretrained Language Models
https://github.com/philipperemy/keras-attention-mechanism
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/phisad/keras-hicoatt
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/ppchavan/chitchatbot1
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/prakhargurawa/Neural-Machine-Translation-Keras-Attention
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/prakhargurawa/Neural-Machine-Translation-Keras-German-English
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/pranavgollamudi/Chatbot
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/prithvi2226/Bilingual-Sentiment-Analysis
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
https://github.com/qbxlvnf11/MultiWOZ2.1-Parser
https://github.com/qq345736500/sarcasm
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/rahmanidashti/acqsurvey
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues
https://github.com/ramanakshay/nanogpt
https://github.com/ray075hl/Bi-Model-Intent-And-Slot
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
https://github.com/renll/StateNet
https://github.com/reppy4620/Dialog
Another Diversity-Promoting Objective Function for Neural Dialogue Generation
https://github.com/rileynwong/pytorch-seq2seq-joke2punchline
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/ritvikshrivastava/ADL_VQA_Tensorflow2
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/ronghanghu/n2nmn
Learning to Reason: End-to-End Module Networks for Visual Question Answering
https://github.com/rush-d/spoken-language-identification
https://github.com/ryanzhumich/sparc_atis_pytorch
https://github.com/s-nlp/sgdd-tst
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
https://github.com/sambit9238/deep_text_corrector
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/samsonleegh/convai_smile
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/schwartznir/AbstrEncap
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/scoyer/fg2seq
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
https://github.com/sea-snell/implicit-language-q-learning
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
https://github.com/sen-pai/audio-word2vec-pytorch
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/servicenow/picard
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
https://github.com/sh951011/Attention-Implementation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/shawnyxiao/textclassification-keras
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/shekharRavi/ask-no-more-COLING2018
Ask No More: Deciding when to guess in referential visual dialogue
https://github.com/shikib/usr
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
https://github.com/shizhediao/SEDST3
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation
https://github.com/shlokmehrotra/Convocare
Neural Machine Translation by Jointly Learning to Align and Translate
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.