Results 21 to 30 of about 2,337,590 (401)
Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues [PDF]
AAAI Conference on Artificial Intelligence, 2023 Maintaining engagement and consistency is particularly important in dialogue systems. Existing works have improved the performance of dialogue systems by intentionally learning interlocutor personas with sophisticated network structures.
Ruijun Chen +3 more
semanticscholar +1 more source
A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Towards building intelligent dialogue agents, there has been a growing interest in introducing explicit personas in generation models. However, with limited persona-based dialogue data at hand, it may be difficult to train a dialogue generation model ...
Yu Cao +4 more
semanticscholar +1 more source
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Maintaining a consistent persona is essential for dialogue agents. Although tremendous advancements have been brought, the limited-scale of annotated personalized dialogue datasets is still a barrier towards training robust and consistent persona-based ...
Haoyu Song +4 more
semanticscholar +1 more source
arXiv.org, 2023 Human intelligence thrives on the concept of cognitive synergy, where collaboration and information integration among different cognitive processes yield superior outcomes compared to individual cognitive processes in isolation.
Zhenhailong Wang +5 more
semanticscholar +1 more source
PAL: Persona-Augmented Emotional Support Conversation Generation [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Due to the lack of human resources for mental health support, there is an increasing demand for employing conversational agents for support. Recent work has demonstrated the effectiveness of dialogue models in providing emotional support.
Jiale Cheng +4 more
semanticscholar +1 more source
PAED: Zero-Shot Persona Attribute Extraction in Dialogues
Annual Meeting of the Association for Computational Linguistics, 2023 Persona attribute extraction is critical for personalized human-computer interaction. Dialogue is an important medium that communicates and delivers persona information.
Luyao Zhu +4 more
semanticscholar +1 more source
Persona-Guided Planning for Controlling the Protagonist’s Persona in Story Generation [PDF]
North American Chapter of the Association for Computational Linguistics, 2022 Endowing the protagonist with a specific personality is essential for writing an engaging story. In this paper, we aim to control the protagonist’s persona in story generation, i.e., generating a story from a leading context and a persona description ...
Zhexin Zhang +3 more
semanticscholar +1 more source
Personalized Dialogue Generation with Persona-Adaptive Attention [PDF]
AAAI Conference on Artificial Intelligence, 2022 Persona-based dialogue systems aim to generate consistent responses based on historical context and predefined persona. Unlike conventional dialogue generation, the persona-based dialogue needs to consider both dialogue context and persona, posing a ...
Qiushi Huang +6 more
semanticscholar +1 more source
Репродуктивная эндокринология, 2019 Purpose of the study was to evaluate the effectiveness of various approaches of artificial reproductive technologies (ART) in advanced maternal age patients with poor ovarian response (POR). Materials and methods.
V. N. Lokshin +4 more
doaj +1 more source