10 citations · 17 across the 8 of their papers we have counts for
11 papers
DialCrowd 2.0: A Quality-Focused Dialog System Crowdsourcing Toolkit
Jessica Huynh, Ting-Rui Chiang, Jeffrey Bigham +1
Dialog system developers need high-quality data to train, fine-tune and assess their systems. They often use crowdsourcing for this since it provides large quantities of data from…
Are you doing what I say? On modalities alignment in ALFRED
Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi +1
ALFRED is a recently proposed benchmark that requires a model to complete tasks in simulated house environments specified by instructions in natural language. We hypothesize that k…
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias
Ting-Rui Chiang
Despite the success of pretrained masked language models (MLM), why MLM pretraining is useful is still a qeustion not fully answered. In this work we theoretically and empirically…
Breaking Down Multilingual Machine Translation
Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh +1
While multilingual training is now an essential ingredient in machine translation (MT) systems, recent work has demonstrated that it has different effects in different multilingual…
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…
Improving Dialogue State Tracking by Joint Slot Modeling
Ting-Rui Chiang, Yi-Ting Yeh
Dialogue state tracking models play an important role in a task-oriented dialogue system. However, most of them model the slot types conditionally independently given the input. We…
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…
An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen
With a lot of work about context-free question answering systems, there is an emerging trend of conversational question answering models in the natural language processing field. T…
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer
Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su +1
With the increasing research interest in dialogue response generation, there is an emerging branch formulating this task as selecting next sentences, where given the partial dialog…
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection
Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su +1
The response selection has been an emerging research topic due to the growing interest in dialogue modeling, where the goal of the task is to select an appropriate response for con…
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems
Ting-Rui Chiang, Yun-Nung Chen
Solving math word problems is a challenging task that requires accurate natural language understanding to bridge natural language texts and math expressions. Motivated by the intui…