Results 341 to 350 of about 3,002,087 (370)

Construction of edit-distance graphs for large sets of short reads through minimizer-bucketing. [PDF]

Bioinform Adv
Ping P, Li J.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph

IEEE/ACM Transactions on Audio Speech and Language Processing, 2022
Named entity recognition (NER) isa preliminary task in natural language processing (NLP). Recognizing Chinese named entities from unstructured texts is challenging due to the lack of word boundaries.
Peng Zhu, Dawei Cheng, Fan Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou   +6 more
semanticscholar   +1 more source

Multiple Embeddings Enhanced Multi-Graph Neural Networks for Chinese Healthcare Named Entity Recognition

IEEE journal of biomedical and health informatics, 2021
Named Entity Recognition (NER) is a natural language processing task for recognizing named entities in a given sentence. Chinese NER is difficult due to the lack of delimited spaces and conventional features for determining named entity boundaries and ...
Lung-Hao Lee, Yi Lu
semanticscholar   +1 more source

Named Entity Recognition and Relation Extraction with Graph Neural Networks in Semi Structured Documents

International Conference on Pattern Recognition, 2021
The use of administrative documents to communicate and leave record of business information requires of methods able to automatically extract and understand the content from such documents in a robust and efficient way.
Manuel Carbonell, Pau Riba, M. Villegas, A. Fornés, J. Lladós   +4 more
semanticscholar   +1 more source

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Graph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation are not well understood.
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang   +5 more
semanticscholar   +1 more source

Named graphs, provenance and trust [PDF]

Proceedings of the 14th international conference on World Wide Web - WWW '05, 2005
The Semantic Web consists of many RDF graphs nameable by URIs. This paper extends the syntax and semantics of RDF to cover such Named Graphs. This enables RDF statements that describe graphs, which is beneficial in many Semantic Web application areas.
Carroll, Jeremy J., Bizer, Christian, Hayes, Pat, Stickler, Patrick   +3 more
openaire   +2 more sources

Named graphs

Journal of Web Semantics, 2005
The Semantic Web consists of many RDF graphs nameable by URIs. This paper extends the syntax and semantics of RDF to cover such named graphs. This enables RDF statements that describe graphs, which is beneficial in many Semantic Web application areas. Named graphs are given an abstract syntax, a formal semantics, an XML syntax, and a syntax based on N3.
Carroll, Jeremy J., Bizer, Christian, Hayes, Pat, Stickler, Patrick   +3 more
openaire   +3 more sources

Word-Character Graph Convolution Network for Chinese Named Entity Recognition

IEEE/ACM Transactions on Audio Speech and Language Processing, 2020
Recent researches try to integrate word information into the character-based Chinese NER by modifying the structure of the standard BiLSTM-CRF model. They follow the paradigm of explicitly modeling forward and backward sequences, adopting an LSTM variant
Zhuo Tang, Boyan Wan, Li Yang
semanticscholar   +1 more source

Cooperative Trajectory Design of Multiple UAV Base Stations With Heterogeneous Graph Neural Networks

IEEE Transactions on Wireless Communications, 2023
Unmanned aerial vehicles as base stations (UAV-BSs) are recognized as effective means for tackling eruptive communication service requirements especially when terrestrial infrastructures are unavailable.
Xiaochen Zhang, Haitao Zhao, Jibo Wei, Chao Yan, Jun Xiong, Xiaoran Liu   +5 more
semanticscholar   +1 more source

Towards Adaptive Consensus Graph: Multi-View Clustering via Graph Collaboration

IEEE transactions on multimedia, 2023
Multi-view clustering is a long-standing important task, however, it remains challenging to exploit valuable information from the complex multi-view data located in diverse high-dimensional spaces.
Huibing Wang, Guangqi Jiang, Jinjia Peng, Ruoxi Deng, Xianping Fu   +4 more
semanticscholar   +1 more source