no code implementations • LREC 2022 • Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David Traum, Maxine Eskenazi
Our track challenges participants to develop strong response generation models and explore strategies that extend them to back-and-forth interactions with real users.
no code implementations • 12 Nov 2020 • Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David Traum, Maxine Eskenazi, Ahmad Beirami, Eunjoon, Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba
Interactive evaluation of dialog, and 4.
no code implementations • ACL 2020 • Yulan Feng, Shikib Mehri, Maxine Eskenazi, Tiancheng Zhao
This paper discusses the importance of uncovering uncertainty in end-to-end dialog tasks and presents our experimental results on uncertainty classification on the processed Ubuntu Dialog Corpus.
no code implementations • 4 Apr 2020 • Yulan Feng, Shikib Mehri, Maxine Eskenazi, Tiancheng Zhao
This paper discusses the importance of uncovering uncertainty in end-to-end dialog tasks, and presents our experimental results on uncertainty classification on the Ubuntu Dialog Corpus.
no code implementations • ACL 2018 • Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung
We introduce the novel task of predicting adverbial presupposition triggers, which is useful for natural language generation tasks such as summarization and dialogue systems.
no code implementations • 11 Jun 2018 • Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung
We introduce the task of predicting adverbial presupposition triggers such as also and again.
no code implementations • COLING 2016 • Jad Kabbara, Yulan Feng, Jackie Chi Kit Cheung
We examine the potential of recurrent neural networks for handling pragmatic inferences involving complex contextual cues for the task of article usage prediction.