Search Results for author: Tzu-Hsiang Lin

Found 8 papers, 1 papers with code

On Task-Adaptive Pretraining for Dialogue Response Selection

no code implementations8 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.

Contextual Domain Classification with Temporal Representations

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.

Classification Spoken Language Understanding

A Multimodal Dialogue System for Conversational Image Editing

no code implementations16 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.

Interactive Spoken Content Retrieval by Deep Reinforcement Learning

no code implementations16 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.

Q-Learning reinforcement-learning +4

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