37 citations · 64 across the 15 of their papers we have counts for
7 papers · 1 filter
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems
Po-Nien Kung, Chung-Cheng Chang, Tse-Hsuan Yang +3
Task-oriented dialogue systems have been a promising area in the NLP field. Previous work showed the effectiveness of using a single GPT-2 based model to predict belief states and…
Relating Neural Text Degeneration to Exposure Bias
Ting-Rui Chiang, Yun-Nung Chen
This work focuses on relating two mysteries in neural-based text generation: exposure bias, and text degeneration. Despite the long time since exposure bias was mentioned and the n…
Modeling Diagnostic Label Correlation for Automatic ICD Coding
Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen
Given the clinical notes written in electronic health records (EHRs), it is challenging to predict the diagnostic codes which is formulated as a multi-label classification task. Th…
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
Yung-Sung Chuang, Mingye Gao, Hongyin Luo +4
Automatic detection of toxic language plays an essential role in protecting social media users, especially minority groups, from verbal abuse. However, biases toward some attribute…
Why Can You Lay Off Heads? Investigating How BERT Heads Transfer
Ting-Rui Chiang, Yun-Nung Chen
The huge size of the widely used BERT family models has led to recent efforts about model distillation. The main goal of distillation is to create a task-agnostic pre-trained model…
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning
Shengsheng Zhang, Yaping Huang, Yun Chen +3
Most existing Grammatical Error Correction (GEC) methods based on sequence-to-sequence mainly focus on how to generate more pseudo data to obtain better performance. Few work addre…
An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker
Yen-Ting Lin, Yun-Nung Chen
There has been a rapid development in data-driven task-oriented dialogue systems with the benefit of large-scale datasets. However, the progress of dialogue systems in low-resource…