A Conditional Variational Framework for Dialog Generation (original) (raw)

Adversarial Learning on the Latent Space for Diverse Dialog Generation

Gaurav Sahu

2020

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Personalized Dialogue Response Generation Learned from Monologues

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DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Xiaodong Gu

ArXiv, 2019

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Generative Deep Neural Networks for Dialogue: A Short Review

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Conditional Response Generation Using Variational Alignment

gaurav sahu

2019

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Variational Hierarchical User-based Conversation Model

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Dialog Response Generation Using Adversarially Learned Latent Bag-of-Words

kashif khan

University of Waterloo, 2020

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Viola: A Topic Agnostic Generate-and-Rank Dialogue System

Basel Shbita

Cornell University - arXiv, 2021

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Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators

Sanghyun Yi

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CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models

Ravi Ghadia

2022

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Large Scale Multi-Actor Generative Dialog Modeling

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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Boosting Dialog Response Generation

Wenchao Du

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019

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A Context-aware Convolutional Natural Language Generation model for Dialogue Systems

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Multi-turn Dialogue Response Generation in an Adversarial Learning Framework

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Proceedings of the First Workshop on NLP for Conversational AI, 2019

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A Differentiable Generative Adversarial Network for Open Domain Dialogue

María Inés Torres Barañano

2019

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Variational Learning for Unsupervised Knowledge Grounded Dialogs

Dhiraj Madan

ArXiv, 2021

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Response Generation with Context-Aware Prompt Learning

Xiaodong Gu

ArXiv, 2021

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Diverse dialogue generation with context dependent dynamic loss function

Yoshinobu Kano

2020

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Diversifying Dialogue Generation with Non-Conversational Text

Cheng Niu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

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Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

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Context-Sensitive Generation of Open-Domain Conversational Responses

yifa wang

2018

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Towards Robust Online Dialogue Response Generation

leyang cui

ArXiv, 2022

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DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances

Xiaodong Gu

2021

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Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models

Ray Kurzweil

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

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Progressive Open-Domain Response Generation with Multiple Controllable Attributes

Haiqin YANG

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery

Lizhen Qu

Transactions of the Association for Computational Linguistics, 2023

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Neural personalized response generation as domain adaptation

yifa wang

World Wide Web, 2018

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A Neural Conversational Model for Automatic Generation of Conversations

Vibha Badhe

2018

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Multi-Referenced Training for Dialogue Response Generation

Tatsuya Kawahara

2021

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Using Synthetic Data for Conversational Response Generation in Low-resource Settings

Adrian Ty

ArXiv, 2022

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Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

Aaron Courville

Proceedings of the AAAI Conference on Artificial Intelligence

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Predict and Use Latent Patterns for Short-Text Conversation

Manaris Simanjuntak

ArXiv, 2020

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