Results 21 to 30 of about 3,127 (217)
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
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 +4 more
doaj +1 more source
Neural Temporal Relation Extraction [PDF]
Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics: Volume 2, Short Papers, 2017 We experiment with neural architectures for temporal relation extraction and establish a new state-of-the-art for several scenarios. We find that neural models with only tokens as input outperform state-of-the-art hand-engineered feature-based models, that convolutional neural networks outperform LSTM models, and that encoding relation arguments with ...
Dmitriy Dligach +4 more
openaire +1 more source
Painless Relation Extraction with Kindred [PDF]
BioNLP 2017, 2017 Relation extraction methods are essential for creating robust text mining tools to help researchers find useful knowledge in the vast published literature. Easy-to-use and generalizable methods are needed to encourage an ecosystem in which researchers can easily use shared resources and build upon each others’ methods.
Jake Lever, Steven J. Jones
openaire +1 more source
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 +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
Relation of the Relations: A New Paradigm of the Relation Extraction Problem
CoRR, 2020 Passed the reviews of EMNLP; withdrawn for non-technical ...
Zhijing Jin 0001 +3 more
openaire +2 more sources
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