no code implementations • 5 Nov 2023 • Chengjie Ma, Junping Du, Meiyu Liang, Zeli Guan
We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets.
no code implementations • 5 Nov 2023 • Peiyu Liu, Junping Du, Yingxia Shao, Zeli Guan
The CasAug model proposed in this paper based on the CasRel framework combined with the semantic enhancement mechanism can solve this problem to a certain extent.
no code implementations • 1 Nov 2023 • Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue
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.
no code implementations • 1 Nov 2023 • Hongrui Gao, Yawen Li, Meiyu Liang, Zeli Guan, Zhe Xue
At the same time, in order to enrich the features of scientific literature, a learning method of semantic representation of scientific literature based on adaptive features and graph neural network is proposed.
no code implementations • 22 Jun 2023 • Tianyu Zhao, Junping Du, Yingxia Shao, Zeli Guan
The algorithm combines OPTICS clustering and adaptive learning technology, and can effective-ly deal with the problem of non-independent and identically distributed data across different user terminals.
no code implementations • 22 Jun 2023 • Jie Gao, Yawen Li, Zhe Xue, Zeli Guan
It can also ensure the load balancing of distributed storage while maintaining spatio-temporal proximity of the data partitioning results.
no code implementations • 12 Oct 2022 • Yuxin Liu, Yawen Li, Yingxia Shao, Zeli Guan
Therefore, a hypergraph neural network model based on dual channel convolution is proposed.
no code implementations • 7 Oct 2022 • Hongrui Gao, Yawen Li, Meiyu Liang, Zeli Guan
Therefore, an unsupervised semantic representation learning method of scientific literature based on graph attention mechanism and maximum mutual information (GAMMI) is proposed.
no code implementations • 7 Oct 2022 • Runze Fang, Junping Du, Yingxia Shao, Zeli Guan
However, most of them only establish separate table features for each relationship, which ignores the implicit relationship between different entity pairs and different relationship features.
no code implementations • 6 Jul 2022 • Tianyu Zhao, Junping Du, Zhe Xue, Ang Li, Zeli Guan
Aspect-Based Sentiment Analysis (ABSA) is a fine-grained task in the field of sentiment analysis, which aims to predict the polarity of aspects.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +4
no code implementations • 30 Jun 2022 • Chengjie Ma, Junping Du, Yingxia Shao, Ang Li, Zeli Guan
We provide a simple and general solution for the discovery of scarce topics in unbalanced short-text datasets, namely, a word co-occurrence network-based model CWIBTD, which can simultaneously address the sparsity and unbalance of short-text topics and attenuate the effect of occasional pairwise occurrences of words, allowing the model to focus more on the discovery of scarce topics.
2 code implementations • 29 Jun 2022 • Yangxi Zhou, Junping Du, Zhe Xue, Ang Li, Zeli Guan
To address this limitation, we propose SememeWSD Synonym (SWSDS) model to assign a different vector to every sense of polysemous words with the help of word sense disambiguation (WSD) and synonym set in OpenHowNet.
no code implementations • 18 Apr 2022 • Changwei Zheng, Zhe Xue, Meiyu Liang, Feifei Kou, Zeli Guan
In recent years, with the increase of social investment in scientific research, the number of research results in various fields has increased significantly.