no code implementations • 25 Jan 2022 • Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen
On the basis of the established coordinate system and the derived points on the cable, the clustering method and cable fitting algorithm based on Gaussian-process regression are proposed to find the most likely locations of the underground cables.
no code implementations • 25 Jan 2022 • Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen
By minimizing the sum of the algebraic distances from the extracted point set to the inverted ellipse, the most likely pipeline's direction and radius are determined.
1 code implementation • 19 May 2021 • Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen
Deep neural networks such as BERT have made great progress in relation classification.
no code implementations • Findings (ACL) 2021 • Shengfei Lyu, Huanhuan Chen
Specially, the mutual restrictions of relations and entity types are formalized and introduced into relation classification.
Ranked #5 on Relation Extraction on TACRED
no code implementations • 12 Aug 2020 • Zhenyu Liu, Chaohong Lu, Haiwei Huang, Shengfei Lyu, Zhenchao Tao
Conventionally, there are two mainstream neural architectures for NLP tasks: the recurrent neural network (RNN) and the convolution neural network (ConvNet).
no code implementations • 29 Jun 2020 • Shengfei Lyu, Jiaqi Liu
In this paper, we propose a novel method to keep the strengths of the two networks to a great extent.
no code implementations • 29 Jun 2020 • Zhenyu Liu, Haiwei Huang, Chaohong Lu, Shengfei Lyu
Alternatively, CNN is able to capture n-gram features of texts by utilizing convolutional filters.
no code implementations • 29 Jun 2020 • Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
The probabilistic classification vector machine (PCVM) synthesizes the advantages of both the support vector machine and the relevant vector machine, delivering a sparse Bayesian solution to classification problems.
no code implementations • 27 Dec 2019 • Weibo Shu, Yaqiang Yao, Shengfei Lyu, Jinlong Li, Huanhuan Chen
In the research area of time series classification, the ensemble shapelet transform algorithm is one of state-of-the-art algorithms for classification.
no code implementations • 4 Jun 2019 • Shengfei Lyu, Linghao Sun, Huixiong Yi, Yong liu, Huanhuan Chen, Chunyan Miao
In the process of translation, CAN obtain the attention matrices that align the two languages.
Low Resource Named Entity Recognition named-entity-recognition +4