1 code implementation • NLP4ConvAI (ACL) 2022 • Yin-Hsiang Liao, Ruo-Ping Dong, Huan-Cheng Chang, Wilson Ma
Retailing combines complicated communication skills and strategies to reach an agreement between buyer and seller with identical or different goals.
1 code implementation • 10 Nov 2021 • Andrew Cohen, Ervin Teng, Vincent-Pierre Berges, Ruo-Ping Dong, Hunter Henry, Marwan Mattar, Alexander Zook, Sujoy Ganguly
In this work, we first demonstrate that sample complexity increases with the quantity of absorbing states in a toy supervised learning task for a fully connected network, while attention is more robust to variable size input.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • EMNLP 2020 • Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan Black
In this paper, we tackle this problem by using \textit{infilling} techniques involving prediction of missing steps in a narrative while generating textual descriptions from a sequence of images.
no code implementations • 15 Sep 2019 • Ruo-Ping Dong, Khyathi Raghavi Chandu, Alan W. black
We also conduct human evaluation from which it is concluded that the visual stories generated by our model are preferred 82% of the times.
1 code implementation • EMNLP 2017 • Peng-Hsuan Li, Ruo-Ping Dong, Yu-Siang Wang, Ju-chieh Chou, Wei-Yun Ma
Motivated by the observation that named entities are highly related to linguistic constituents, we propose a constituent-based BRNN-CNN for named entity recognition.