4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
Chengyue Jiang, Yong Jiang, Weiqi Wu +2
Ultra-fine entity typing (UFET) aims to predict a wide range of type phrases that correctly describe the categories of a given entity mention in a sentence. Most recent works infer…
cs.CL2020★ 1 cited
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
Xinyu Wang, Yixian Liu, Zixia Jia +2
This paper presents the system used in our submission to the \textit{CoNLL 2019 shared task: Cross-Framework Meaning Representation Parsing}. Our system is a graph-based parser whi…
cs.CL2020★ 4 cited
Learning Numeral Embeddings
Chengyue Jiang, Zhonglin Nian, Kaihao Guo +4
Word embedding is an essential building block for deep learning methods for natural language processing. Although word embedding has been extensively studied over the years, the pr…