https://github.com/gooofy/zbrain
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
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/graykode/nlp-tutorial
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/guxm2021/MM_ALT
https://github.com/guxm2021/alt_speechbrain
https://github.com/guxm2021/svt_speechbrain
https://github.com/harshithbelagur/Neural-Machine-Translation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/hiun/learning-transformers
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/hkmirza/eacl2024-sci-chat-sharedtask
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/hnt4499/seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/https-github-com-GiangHoang9912/ernie-gen
https://github.com/hudaAlamri/DSTC7-Audio-Visual-Scene-Aware-Dialog-AVSD-Challenge
https://github.com/huggingface/swift-coreml-transformers
https://github.com/huggingface/transfer-learning-conv-ai
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/huggingface/transformers
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
https://github.com/huulinhcvp/chatBot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/hyan5/learning_to_simulate_nl_feedback
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
https://github.com/iai-group/moviebot
https://github.com/ibrahimSouleiman/GuessWhat
End-to-end optimization of goal-driven and visually grounded dialogue systems
https://github.com/ictnlp/DSTC8-AVSD
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog
https://github.com/idiap/bert-text-diarization-atc
https://github.com/idiap/w2v2-air-traffic
https://github.com/iflytek/cino
https://github.com/ilimugur/short-text-classification
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
https://github.com/illidanlab/personaGPT
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/imcaspar/gpt2-ml
https://github.com/informagi/conversational-entity-linking-2022
Wizard of Wikipedia: Knowledge-Powered Conversational agents
https://github.com/insigh/THUMT
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/irlab-sdu/Neural_Topical_Expansion_for_UPDS
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
https://github.com/jadler1/retrieval-chitchat
Sequential Attention-based Network for Noetic End-to-End Response Selection
https://github.com/jankrepl/mildlyoverfitted
https://github.com/jasonyux/krls
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://github.com/jeongukjae/KR-BERT-SimCSE
https://github.com/jerrylsu/TC-Bot
https://github.com/jiangnanhugo/seq2seq_cuda
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/jjessyli/speciteller
https://github.com/jmyrberg/finnlem
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.