This work was supported by the National Key R&D Program of China under Grant No.2020YFB1710200.
The goal of cross-domain named entity recognition is to transfer mod-els learned from labelled source domain data to unlabelled or lightly labelled target domain datasets.This paper discusses how to adapt a cross-doma...
This research is supported by the National Natural Science Foundation of China(41976200);the project of Guangdong Ocean University(060302032106);Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(SML2022SP301)。
Under the joint influence of high-intensity human activities and cli-mate change,the coastal ecological environment is deteriorating,and the ecologi-cal environment security and the sustainable development of the marin...
Project supported by the Education Department of Hainan Province,project number:Hnky2022ZD-25.
The city airport serves as a fundamental infrastructure for air trans-portation,with its development planning largely contingent upon the prognosti-cation of future airport activities’busyness.Given the multifarious ...
In view of the technical difficulties of autonomous navigation in local areas,this paper proposes a high-precision autonomous navigation shared bal-ancing bike system based on EKF-SLAM.This system uses the EKF-SLAM alg...
This work was supported by the National Key R&D Program of China under Grant No.20201710200.
Link prediction is used to complete the knowledge graph.Convolu-tional neural network models are commonly used for link prediction tasks,but they only consider the direct relations between entity pairs,ignoring the se...
This article was supported by the National Key Research and Development Program of China(No.2020YFC1523300);the Innovation Platform Construction Project of Qinghai Province(2022-ZJ-T02).
Today’s link prediction methods are based on the network structure using a single-channel approach for prediction,and there is a lack of link prediction algorithms constructed from a multichannel approach,which makes...
Multimodal Sentiment analysis refers to analyzing emotions in infor-mation carriers containing multiple modalities.To better analyze the features within and between modalities and solve the problem of incomplete multi...
This work was supported by the National Key R&DProgram of China under Grant No.2020YFB1710200.
Knowledge graphs(KGs)play a pivotal role in various real-world applications,but they are frequently plagued by incomplete information,which manifests in the form of missing entities.Link prediction,which aims to infer...
This work was supported by the National Key R&D Program of China under Grant No.2020YFB1710200.
Predicting entities in knowledge graphs is a crucial research area,and convolutional neural networks(CNNs)have exhibited significant performance due to their ability to generate expressive feature embeddings.However,se...
Short text classification is one of the common tasks in natural language processing.Short text contains less information,and there is still much room for improvement in the performance of short text classification model...