Papers by Ran Guan

2 papers
Self-Supervised Sentence Polishing by Adding Engaging Modifiers (2023.acl-demo)

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Challenge: a typical way to polish sentences is to add engaging modifiers, which enhance the meaning of the sentence.
Approach: They propose a task that requires polishing sentences while maintaining fluency . they remove engaging modifiers from public resources and fine-tune LongLM to reconstruct original sentences from corrupted ones.
Outcome: The proposed model generates more engaging sentences with suitable modifiers than strong baselines while keeping fluency.
When and Who? Conversation Transition Based on Bot-Agent Symbiosis Learning Network (2020.coling-main)

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Challenge: a bot-agent symbiosis is a method for transparent conversation transition in online customer service applications.
Approach: They propose a bot-agent symbiosis approach to solve conversation transition problems . they provide user feedback and develop deep neural networks to predict the NPS .
Outcome: The proposed approach outperforms state-of-the-art methods on real-time data generated from an online service support platform.

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