Search Results for author: Pei-Hsin Wang

Found 4 papers, 2 papers with code

Context-Aware Temperature for Language Modeling

no code implementations1 Jan 2021 Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang, Yu-Ting Chen, Da-Cheng Juan, Jia-Yu Pan, Wei Wei

Current practices to apply temperature scaling assume either a fixed, or a manually-crafted dynamically changing schedule.

Language Modelling

Contextual Temperature for Language Modeling

no code implementations25 Dec 2020 Pei-Hsin Wang, Sheng-Iou Hsieh, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Chang Juan

Temperature scaling has been widely used as an effective approach to control the smoothness of a distribution, which helps the model performance in various tasks.

Language Modelling

AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval

1 code implementation Findings of the Association for Computational Linguistics 2020 Chieh-Yang Chen, Pei-Hsin Wang, Shih-Chieh Chang, Da-Cheng Juan, Wei Wei, Jia-Yu Pan

Despite recent success in neural task-oriented dialogue systems, developing such a real-world system involves accessing large-scale knowledge bases (KBs), which cannot be simply encoded by neural approaches, such as memory network mechanisms.

Task-Oriented Dialogue Systems Text-To-Sql

Complement Objective Training

1 code implementation ICLR 2019 Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

Although being a widely-adopted approach, using cross entropy as the primary objective exploits mostly the information from the ground-truth class for maximizing data likelihood, and largely ignores information from the complement (incorrect) classes.

Natural Language Understanding

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