Search Results for author: Donghoon Ham

Found 4 papers, 2 papers with code

Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?

no code implementations20 Dec 2022 Sang-Woo Lee, Sungdong Kim, Donghyeon Ko, Donghoon Ham, Youngki Hong, Shin Ah Oh, Hyunhoon Jung, Wangkyo Jung, Kyunghyun Cho, Donghyun Kwak, Hyungsuk Noh, WooMyoung Park

Task-oriented dialogue (TOD) systems are mainly based on the slot-filling-based TOD (SF-TOD) framework, in which dialogues are broken down into smaller, controllable units (i. e., slots) to fulfill a specific task.

Language Modelling Position +2

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models

1 code implementation NAACL 2022 Sanghwan Bae, Donghyun Kwak, Sungdong Kim, Donghoon Ham, Soyoung Kang, Sang-Woo Lee, WooMyoung Park

In this work, we study the challenge of imposing roles on open-domain dialogue systems, with the goal of making the systems maintain consistent roles while conversing naturally with humans.

Few-Shot Learning

End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2

no code implementations ACL 2020 Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang, Kee-Eung Kim

The goal-oriented dialogue system needs to be optimized for tracking the dialogue flow and carrying out an effective conversation under various situations to meet the user goal.

Goal-Oriented Dialogue Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.