SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations
Satwik Kottur*, Seungwhan Moon*, Alborz Geramifard, Babak Damavandi
(*: equal contributions)
arXiv, 2021.
(
PDF,
BibTeX
)
Adding Chit-Chat to Enhance Task-Oriented Dialogues
Kai Sun, Seungwhan Moon, Paul Crook, Stephen Roller, Becka Silvert, Bing Liu, Zhiguang Wang, Honglei Liu, Eunjoon Cho, Claire Cardie
NAACL, 2021 (To Appear).
(
Code & Data,
PDF,
BibTeX
)
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
Zhaojiang Lin, Bing Liu, Seungwhan Moon, Paul Crook, Zhenpeng Zhou, Stephen Wang, Zhou Yu, Andrea Madotto, Eunjoon Cho and Rajen Subba
NAACL, 2021 (To Appear).
(
BibTeX
)
Continual Learning in Task-Oriented Dialogue Systems
Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Zhiguang Wang
arXiv, 2020.
(
PDF,
BibTeX
)
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard, Satwik Kottur
arXiv, 2021.
(
PDF,
BibTeX
)
Situated Interactive Multimodal Conversations (SIMMC) Track at DSTC9
Paul A. Crook*, Satwik Kottur*, Seungwhan Moon*, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard
(*: equal contributions)
AAAI DSTC9 Workshop, 2021.
(
SIMMC Track Page (Code, Dataset),
PDF,
BibTeX
)
Situated and Interactive Multimodal Conversations
Seungwhan Moon*, Satwik Kottur*, Paul A. Crook^, Ankita De^, Shivani Poddar^, Theodore Levin, David Whitney, Daniel Difranco, Ahmad Beirami, Eunjoon Cho, Rajen Subba, Alborz Geramifard
(*, ^: equal contributions)
COLING, 2020.
(
DSTC9 Challenge,
SIMMC Track Page (Code, Dataset),
PDF,
BibTeX
)
User Memory Reasoning for Conversational Recommendation
Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu
COLING, 2020.
(
PDF,
BibTeX
)
Memory Grounded Conversational Reasoning
Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba
EMNLP, 2019.
(
PDF,
BibTeX )
Active Federated Learning
Jack Goetz, Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu, Anuj Kumar
NeurIPS Workshop on Federated Learning, 2019.
(
PDF,
BibTeX
)
Federated User Representation Learning
Duc Bui, Kshitiz Malik, Jack Goetz, Honglei Liu, Seungwhan Moon, Anuj Kumar, Kang G. Shin
arXiv, 2019.
(
PDF,
BibTeX
)
This Malware Looks Familiar: Laymen Identify Malware Run-time Similarity with Chernoff faces and Stick Figures
Eliezer Kanal, Nathan VanHoudnos, Will Casey, David French, Brian Lindauer, Seungwhan Moon, Peter Jansen, Jamie Carbonell, Evan Wright
EAI, 2017.
(
PDF,
BibTeX
)
Metaphor Detection Using Topic Transition, Emotion and Cognition in Context
Hyeju Jang, Yohan Jo, Qinlan Shen, Michael Miller, Seungwhan Moon, Carolyn Rose
ACL, 2016.
(
PDF,
BibTeX )
Cross Modal Content Based Objective for Learning Adequate Multimodal Representations
Seungwhan Moon, Adhiguna Kuncoro, Akash Bharadwaj, Volkan Cirik, Chris Dyer, Louis-Philippe Morency
ICML MVRL Workshop, 2016.
(
PDF,
BibTeX,
Slides
)
Metaphor Detection in Discourse
Hyeju Jang, Seunghwan Moon, Yohan Jo, Carolyn Rose
SIGDIAL, 2015.
(
PDF,
BibTeX
)
Active Learning with Partially Observed Data
Seungwhan Moon, Calvin McCarter, Yu-Hsin Kuo
Proceedings of WWW, 2014.
(
PDF,
BibTeX,
Slides
)
Application of Genetic Programming to Verilog Hardware Design
Seungwhan Moon, Paul Booth, Jared Kirschner, Matt Belland
CCSCNE, 2012 (Best Paper Award).
(
Abstract
)