no code implementations • 8 Oct 2022 • Tzu-Hsiang Lin, Ta-Chung Chi, Anna Rumshisky
Recent advancements in dialogue response selection (DRS) are based on the \textit{task-adaptive pre-training (TAP)} approach, by first initializing their model with BERT~\cite{devlin-etal-2019-bert}, and adapt to dialogue data with dialogue-specific or fine-grained pre-training tasks.
no code implementations • 4 Oct 2021 • Santosh Ganji, Tzu-Hsiang Lin, Francisco A. Espinal, P. R. Kumar
Management of narrow directional beams is critical for mm-wave communication systems.
no code implementations • 18 Jul 2021 • Santosh Ganji, Tzu-Hsiang Lin, Jaewon Kim, P. R. Kumar
In mm-wave networks, cell sizes are small due to high path and penetration losses.
no code implementations • NAACL 2021 • Tzu-Hsiang Lin, Yipeng Shi, Chentao Ye, Yang Fan, Weitong Ruan, Emre Barut, Wael Hamza, Chengwei Su
In commercial dialogue systems, the Spoken Language Understanding (SLU) component tends to have numerous domains thus context is needed to help resolve ambiguities.
no code implementations • 18 Aug 2020 • Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabas Poczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu
Despite the advent of deep learning in computer vision, the general handwriting recognition problem is far from solved.
no code implementations • 16 Feb 2020 • Tzu-Hsiang Lin, Trung Bui, Doo Soon Kim, Jean Oh
In this paper, we present a multimodal dialogue system for Conversational Image Editing.
1 code implementation • LREC 2020 • Tzu-Hsiang Lin, Alexander Rudnicky, Trung Bui, Doo Soon Kim, Jean Oh
Our system grounds language on the level of edit operations, and suggests options for a user to choose from.
no code implementations • 16 Sep 2016 • Yen-chen Wu, Tzu-Hsiang Lin, Yang-De Chen, Hung-Yi Lee, Lin-shan Lee
In our previous work, some hand-crafted states estimated from the present retrieval results are used to determine the proper actions.