4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CL2020
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
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…