Search Results for author: Seojin Lee

Found 2 papers, 1 papers with code

WHAT, WHEN, and HOW to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue

no code implementations6 Jun 2023 Deuksin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, Eric Davis

This paper presents a method for building a personalized open-domain dialogue system to address the WWH (WHAT, WHEN, and HOW) problem for natural response generation in a commercial setting, where personalized dialogue responses are heavily interleaved with casual response turns.

Response Generation

An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model

1 code implementation EMNLP 2021 Kijong Han, Seojin Lee, Wooin Lee, Joosung Lee, Dong-hun Lee

Multi-turn response selection models have recently shown comparable performance to humans in several benchmark datasets.

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