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.
1 code implementation • 10 Sep 2020 • Taesun Whang, Dongyub Lee, Dongsuk Oh, Chanhee Lee, Kijong Han, Dong-hun Lee, Saebyeok Lee
In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems.
Ranked #6 on
Conversational Response Selection
on E-commerce
no code implementations • 24 Mar 2019 • Dong-hun Lee, Srivatsan Srinivasan, Finale Doshi-Velez
We introduce a novel apprenticeship learning algorithm to learn an expert's underlying reward structure in off-policy model-free \emph{batch} settings.
no code implementations • 31 May 2018 • Omer Gottesman, Fredrik Johansson, Joshua Meier, Jack Dent, Dong-hun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David Sontag, Finale Doshi-Velez
Much attention has been devoted recently to the development of machine learning algorithms with the goal of improving treatment policies in healthcare.
no code implementations • 16 Apr 2018 • Jaekoo Lee, Byunghan Lee, Jongyoon Song, Jaesik Yoon, Yongsik Lee, Dong-hun Lee, Sungroh Yoon
The experimental results with real-world data confirm the effectiveness of the system and models.