Personalized Response Generation via Generative Split Memory Network (2021.naacl-main)
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| Challenge: | Despite the success of text generation and dialogue systems, how to endow a text generation system with personality traits remains under-investigated. |
| Approach: | They propose a model to generate personalized responses on reddit using user profiles and posting histories. |
| Outcome: | The proposed model improves over the state-of-the-art response generation models. |
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| Challenge: | blending multiple languages within a single conversation presents a formidable challenge, given the wide-ranging variations influenced by individual speaking styles and cultural backgrounds. |
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| Challenge: | Using a set of algorithms, we can generate large dialogue corpus from Reddit. |
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DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation (2020.acl-demos)
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| Challenge: | Experimental results show that meta-words can be used to generate open domain dialogues . human-machine conversation is a fundamental problem in NLP . |
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| Challenge: | Existing personalized dialogue agents model persona profiles from sparse or dense persona descriptions and dialogue histories. |
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