https://github.com/AbdulSaleh/dialog-probing
공식 코드Probing Neural Dialog Models for Conversational Understanding
Papers with Code 아카이브
Open-Domain Dialog
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ClovaAI/ClovaCall
공식 코드https://github.com/James-Yip/QuantiDCE
공식 코드https://github.com/PKUAI-LINGroup/context-study
공식 코드An Empirical Study on Context Length for Open-Domain Dialog Generation
https://github.com/SarikGhazarian/PredictiveEngagement
공식 코드Predictive Engagement: An Efficient Metric For Automatic Evaluation of Open-Domain Dialogue Systems
https://github.com/Weixin-Liang/HERALD
공식 코드HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations
https://github.com/Weixin-Liang/dialog_evaluation_CMADE
공식 코드Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
https://github.com/alexa/Topical-Chat/tree/master/TopicalChatASR
공식 코드https://github.com/alexa/conture
공식 코드What is wrong with you?: Leveraging User Sentiment for Automatic Dialog Evaluation
https://github.com/asmadotgh/neural_chat_web
공식 코드Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
https://github.com/bernard-yang/simamr
공식 코드https://github.com/chujiezheng/CoMAE
공식 코드CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
https://github.com/ddehun/density
공식 코드DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation
https://github.com/ddehun/paireval
공식 코드PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison
https://github.com/dialogue-evaluation/RuOpinionNE-2024
공식 코드RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
https://github.com/dialogue-evaluation/ruatd
공식 코드Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
https://github.com/dialogue-evaluation/runne
공식 코드https://github.com/e0397123/DynaEval
공식 코드https://github.com/e0397123/FineD-Eval
공식 코드FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation
https://github.com/e0397123/comp-analysis
공식 코드https://github.com/e0397123/find-eval
공식 코드FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation
https://github.com/e0397123/mdd-eval
공식 코드MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation
https://github.com/e0397123/xdial-eval
공식 코드xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark
https://github.com/emora-chat/chatevaluationplatform
공식 코드Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems
https://github.com/emorynlp/chatevaluationplatform
공식 코드Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems
https://github.com/exe1023/DialEvalMetrics
공식 코드https://github.com/facebookresearch/KILT
공식 코드https://github.com/facebookresearch/online_dialog_eval
공식 코드Learning an Unreferenced Metric for Online Dialogue Evaluation
https://github.com/fulstock/Methods-for-Recognizing-Nested-Terms
공식 코드https://github.com/golsun/AdversarialTuringTest
공식 코드An Adversarially-Learned Turing Test for Dialog Generation Models
https://github.com/harsh19/Diverse-Reference-Augmentation
공식 코드Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation
https://github.com/hegehongcha/slide-acl2024
공식 코드SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
https://github.com/ibm/kgi-slot-filling
공식 코드https://github.com/ictnlp/DialoFlow
공식 코드Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
https://github.com/iitmnlp/Dialogue-Evaluation-with-BERT
공식 코드Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
https://github.com/johndmendonca/Ecoh
공식 코드ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.