31 citations · 54 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 19 cited
Coreferential Reasoning Learning for Language Representation
Deming Ye, Yankai Lin, Jiaju Du +4
Language representation models such as BERT could effectively capture contextual semantic information from plain text, and have been proved to achieve promising results in lots of…
cs.CL2020★ 4 cited
Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence
Jiaju Du, Fanchao Qi, Maosong Sun +1
Sememes, defined as the minimum semantic units of human languages in linguistics, have been proven useful in many NLP tasks. Since manual construction and update of sememe knowledg…
cs.CL2019★ 31 cited
Using BERT for Word Sense Disambiguation
Jiaju Du, Fanchao Qi, Maosong Sun
Word Sense Disambiguation (WSD), which aims to identify the correct sense of a given polyseme, is a long-standing problem in NLP. In this paper, we propose to use BERT to extract b…