Results 11 to 20 of about 2,836,177 (344)
Bipartite Flat-Graph Network for Nested Named Entity Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner ...
Ying Luo, Hai Zhao
semanticscholar +3 more sources
A Graph Based Approach for Naming Faces in News Photos [PDF]
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006 We propose a method to associate names and faces for querying people in large news photo collections. On the assumption that a persons face is likely to appear when his/her name is mentioned in the caption, first all the faces associated with the query name are selected.
Dilek Özkan, Pınar Duygulu
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Author name disambiguation based on heterogeneous graph neural network
PLOS ONEWith the dramatic increase in the number of published papers and the continuous progress of deep learning technology, the research on name disambiguation is at a historic peak, the number of paper authors is increasing every year, and the situation of authors with the same name is intensifying, therefore, it is a great challenge to accurately assign ...
Ge Wang, Zikai Sun, Wei Hu, Muqing Cai
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Semantic-enhanced graph neural network for named entity recognition in ancient Chinese books
Scientific ReportsNamed entity recognition (NER) plays a crucial role in the extraction and utilization of knowledge of ancient Chinese books. However, the challenges of ancient Chinese NER not only originate from linguistic features such as the use of single characters ...
Yongrui Xu +5 more
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GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2021 Instead of using expensive manual annotations, researchers have proposed to train named entity recognition (NER) systems using heuristic labeling rules.
Xinyan Zhao, Haibo Ding, Z. Feng
semanticscholar +1 more source
Constructing marine expert management knowledge graph based on Trellisnet-CRF [PDF]
PeerJ Computer Science, 2022 Creating and maintaining a domain-specific database of research institutions, academic experts and scholarly literature is essential to expanding national marine science and technology.
Jiajing Wu +5 more
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Annals of Computer Science and Information Systems, 2018 The amount of information that is stored and processed by computer systems is constantly increasing. The relational model is still popular. Unfortunately, despite its simplicity, it has many disadvantages, which more often exclude it from large-scale applications.
Dominik Tomaszuk, Lukasz Szeremeta
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Adaptive Graph Representation for Clustering
IEEE Access, 2022 Many graph construction methods for clustering cannot consider both local and global data structures in the construction of initial graph. Meanwhile, redundant features or even outliers and data with important characteristics are addressed equally in the
Mei Chen +5 more
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News Image-Text Matching With News Knowledge Graph
IEEE Access, 2021 Image-text matching using the image caption method has made a great progress. However, there are many named entities in news text, and existing approaches are unable to directly generate named entities in the news image caption.
Zhao Yumeng +3 more
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