DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
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Summary
It is shown that conversational systems that leverage DialoGPT generate more relevant, contentful and context-consistent responses than strong baseline systems.
- Type
- preprint
- Published
- 2019-11-01
- Cited by
- 1,754
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W2988937804
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:207869708
Keywords
Chen, Zhàng, Generative grammar, Scale (ratio), Computer science
References
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- A Persona-Based Neural Conversation Model
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- Deep Contextualized Word Representations
- AllenNLP: A Deep Semantic Natural Language Processing Platform
- DeepPavlov: Open-Source Library for Dialogue Systems
- TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
- Jointly Optimizing Diversity and Relevance in Neural Response Generation
- Consistent Dialogue Generation with Self-supervised Feature Learning
- Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
- Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
- Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
- A Diversity-Promoting Objective Function for Neural Conversation Models
- Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Cited by
- Stylistically User-Specific Generation
- Consistent Dialogue Generation with Self-supervised Feature Learning
- Challenges in Building Intelligent Open-domain Dialog Systems
- c-TextGen: Conditional Text Generation for Harmonious Human-Machine Interaction
- INSET: Sentence Infilling with Inter-sentential Generative Pre-training
- Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
- Adversarial Language Games for Advanced Natural Language Intelligence
- Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
- Relevance-Promoting Language Model for Short-Text Conversation
- Towards a Human-like Open-Domain Chatbot
- Multilingual Denoising Pre-training for Neural Machine Translation
- Non-Autoregressive Neural Dialogue Generation
- Few-shot Natural Language Generation for Task-Oriented Dialog
- RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System
- An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation
- XPersona: Evaluating Multilingual Personalized Chatbot
- IntelliBot: A Dialogue-based chatbot for the insurance industry
- PROTOTYPE-TO-STYLE: Dialogue Generation With Style-Aware Editing on Retrieval Memory
- Interview: A Large-Scale Open-Source Corpus of Media Dialog
- Multi-Domain Dialogue Acts and Response Co-Generation
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