Derek F. Wong

Improving Grammatical Error Correction with Multimodal Feature Integration

2023

Grammatical error correction (GEC) is a promising task aimed at correcting errors in a text. Many methods have been proposed to facilitate this task with remarkable results. However, most of them only focus on enhancing …

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation

2022

Transfer learning is a simple and powerful method that can be used to boost model performance of low-resource neural machine translation (NMT). Existing transfer learning methods for NMT are static, which simply transfer knowledge from …

Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System

2023

The development of poetry generation system mainly focuses on enhancing the capacity of generation model. However, the demands of customization and polishing are generally ignored, which highly reduces the scope of application. In this work, …

Learning Deep Transformer Models for Machine Translation

2019

Transformer is the state-of-the-art model in recent machine translation evaluations. Two strands of research are promising to improve models of this kind: the first uses wide networks (a.k.a. Transformer-Big) and has been the de facto …

Modeling Localness for Self-Attention Networks

2018

Self-attention networks have proven to be of profound value for its strength of capturing global dependencies. In this work, we propose to model localness for self-attention networks, which enhances the ability of capturing useful local …