Hongbin Wang

A Neural Joint Model with BERT for Burmese Syllable Segmentation, Word Segmentation, and POS Tagging

2021 · ACM Transactions on Asian and Low-Resource Language Information Processing

The smallest semantic unit of the Burmese language is called the syllable. In the present study, it is intended to propose the first neural joint learning model for Burmese syllable segmentation, word segmentation, and part-of-speech …

Enhancing Semi-Supervised Learning with Cross-Modal Knowledge

2022 · Proceedings of the 30th ACM International Conference on Multimedia

Semi-supervised learning (SSL), which leverages a small number of labeled data that rely on expert knowledge and a large number of easily accessible unlabeled data, has made rapid progress recently. However, the information comes from …

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding

2022 · arXiv (Cornell University)

Knowledge-enhanced Pre-trained Language Model (PLM) has recently received significant attention, which aims to incorporate factual knowledge into PLMs. However, most existing methods modify the internal structures of fixed types of PLMs by stacking complicated modules, …