2 citations · 4 across the 14 of their papers we have counts for
6 papers · 1 filter
Topic model based on co-occurrence word networks for unbalanced short text datasets
Chengjie Ma, Junping Du, Meiyu Liang +1
We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for…
Relation Extraction Model Based on Semantic Enhancement Mechanism
Peiyu Liu, Junping Du, Yingxia Shao +1
Relational extraction is one of the basic tasks related to information extraction in the field of natural language processing, and is an important link and core task in the fields…
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion
Runze Fang, Yawen Li, Yingxia Shao +2
The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most ent…
Semantic Representation Learning of Scientific Literature based on Adaptive Feature and Graph Neural Network
Hongrui Gao, Yawen Li, Meiyu Liang +2
Because most scientific literature data are unlabeled, semantic representation learning based on unsupervised graphs has become crucial. To enrich scientific-literature features, t…
Aspect-Based Sentiment Analysis using Local Context Focus Mechanism with DeBERTa
Tianyu Zhao, Junping Du, Zhe Xue +2
Text sentiment analysis, also known as opinion mining, is research on the calculation of people's views, evaluations, attitude and emotions expressed by entities. Text sentiment an…
Chinese Word Sense Embedding with SememeWSD and Synonym Set
Yangxi Zhou, Junping Du, Zhe Xue +2
Word embedding is a fundamental natural language processing task which can learn feature of words. However, most word embedding methods assign only one vector to a word, even if po…