Yuxian Meng

Glyce: Glyph-vectors for Chinese Character Representations

2019 · arXiv (Cornell University)

It is intuitive that NLP tasks for logographic languages like Chinese should benefit from the use of the glyph information in those languages. However, due to the lack of rich pictographic evidence in glyphs and …

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?

2019

Segmenting a chunk of text into words is usually the first step of processing Chinese text, but its necessity has rarely been explored.

Dice Loss for Data-imbalanced NLP Tasks

2020

Many NLP tasks such as tagging and machine reading comprehension (MRC) are faced with the severe data imbalance issue: negative examples significantly outnumber positive ones, and the huge number of easy-negative examples overwhelms training. The …

A Unified MRC Framework for Named Entity Recognition

2020

The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not. Models are usually separately developed for the two tasks, since …