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09/14/2021
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
Being able to reply with a related, fluent, and informative response is ...
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09/13/2021
Text is NOT Enough: Integrating Visual Impressions intoOpen-domain Dialogue Generation
Open-domain dialogue generation in natural language processing (NLP) is ...
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06/07/2021
GTM: A Generative Triple-Wise Model for Conversational Question Generation
Generating some appealing questions in open-domain conversations is an e...
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03/02/2021
Probing Product Description Generation via Posterior Distillation
In product description generation (PDG), the user-cared aspect is critic...
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02/18/2021
Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation
Open-domain multi-turn conversations mainly have three features, which a...
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02/16/2021
User-Inspired Posterior Network for Recommendation Reason Generation
Recommendation reason generation, aiming at showing the selling points o...
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05/04/2020
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation
Chinese poetry is an important part of worldwide culture, and classical ...
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05/01/2020
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation
Emotion-controllable response generation is an attractive and valuable t...
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11/22/2019
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
Human conversations in real scenarios are complicated and building a hum...
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11/22/2019
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset forE-commerce Customer Service
Human conversations in real scenarios are complicated and building a hum...
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06/18/2019
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
Multi-turn conversations consist of complex semantic structures, and it ...
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09/09/2018
