Results 21 to 30 of about 1,302,829 (277)

EANT: Distant Supervision for Relation Extraction with Entity Attributes via Negative Training

Applied Sciences, 2022
Distant supervision for relation extraction (DSRE) automatically acquires large-scale annotated data by aligning the corpus with the knowledge base, which dramatically reduces the cost of manual annotation.
Xuxin Chen, Xinli Huang
doaj   +1 more source

Relation extraction for biological pathway construction using node2vec

BMC Bioinformatics, 2018
Background Systems biology is an important field for understanding whole biological mechanisms composed of interactions between biological components.
Munui Kim, Seung Han Baek, Min Song
doaj   +1 more source

A Concise Relation Extraction Method Based on the Fusion of Sequential and Structural Features Using ERNIE

Mathematics, 2023
Relation extraction, a fundamental task in natural language processing, aims to extract entity triples from unstructured data. These triples can then be used to build a knowledge graph.
Yu Wang, Yuan Wang, Zhenwan Peng, Feifan Zhang, Fei Yang   +4 more
doaj   +1 more source

Enhancing biomedical relation extraction with directionality. [PDF]

Bioinformatics
Abstract Summary Biological relation networks contain rich information for understanding the biological mechanisms behind the relationship of entities such as genes, proteins, diseases, and chemicals.
Lai PT, Wei CH, Tian S, Leaman R, Lu Z.
europepmc   +3 more sources

BioRel: towards large-scale biomedical relation extraction

BMC Bioinformatics, 2020
Background Although biomedical publications and literature are growing rapidly, there still lacks structured knowledge that can be easily processed by computer programs.
Rui Xing, Jie Luo, Tengwei Song
doaj   +1 more source

An Entity Relation Extraction Method Based on Dynamic Context and Multi-Feature Fusion

Applied Sciences, 2022
Dynamic context selector, a kind of mask idea, will divide the matrix into some regions, selecting the information of region as the input of model dynamically.
Xiaolin Ma, Kaiqi Wu, Hailan Kuang, Xinhua Liu   +3 more
doaj   +1 more source

An Open Relation Extraction Method for Domain Text Based on Hybrid Supervised Learning

Applied Sciences, 2023
Current research on knowledge graph construction is focused chiefly on general-purpose fields, whereas constructing knowledge graphs in vertically segmented professional fields faces numerous difficulties.
Xiaoxiong Wang, Jianpeng Hu
doaj   +1 more source

DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT

Applied Sciences, 2020
Along with studies on artificial intelligence technology, research is also being carried out actively in the field of natural language processing to understand and process people’s language, in other words, natural language.
SungMin Yang, SoYeop Yoo, OkRan Jeong
doaj   +1 more source

CID-GCN: An Effective Graph Convolutional Networks for Chemical-Induced Disease Relation Extraction

Frontiers in Genetics, 2021
Automatic extraction of chemical-induced disease (CID) relation from unstructured text is of essential importance for disease treatment and drug development.
Daojian Zeng, Chao Zhao, Zhe Quan
doaj   +1 more source

An Attention-Based Model Using Character Composition of Entities in Chinese Relation Extraction

Information, 2020
Relation extraction is a vital task in natural language processing. It aims to identify the relationship between two specified entities in a sentence. Besides information contained in the sentence, additional information about the entities is verified to
Xiaoyu Han, Yue Zhang, Wenkai Zhang, Tinglei Huang   +3 more
doaj   +1 more source