A survey on event extraction for natural language understanding: Riding the biomedical literature wave
Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
Event-centric temporal knowledge graph construction: A survey
Textual documents serve as representations of discussions on a variety of subjects. These
discussions can vary in length and may encompass a range of events or factual information …
discussions can vary in length and may encompass a range of events or factual information …
MHDMF: prediction of miRNA–disease associations based on deep matrix factorization with multi-source graph convolutional network
A growing number of works have proved that microRNAs (miRNAs) are a crucial biomarker
in diverse bioprocesses affecting various diseases. As a good complement to high-cost wet …
in diverse bioprocesses affecting various diseases. As a good complement to high-cost wet …
Multiscale Laplacian graph kernel features combined with tree deep convolutional neural network for the detection of ECG arrhythmia
Abstract In this manuscript, Multiscale Laplacian graph kernel features combined with Tree
Deep Convolutional Neural Network (MLGK-TDCNN) is proposed for the detection of …
Deep Convolutional Neural Network (MLGK-TDCNN) is proposed for the detection of …
Text-to-text extraction and verbalization of biomedical event graphs
Biomedical events represent complex, graphical, and semantically rich interactions
expressed in the scientific literature. Almost all contributions in the event realm orbit around …
expressed in the scientific literature. Almost all contributions in the event realm orbit around …
A biomedical event extraction method based on fine-grained and attention mechanism
X He, P Tai, H Lu, X Huang, Y Ren - BMC bioinformatics, 2022 - Springer
Background Biomedical event extraction is a fundamental task in biomedical text mining,
which provides inspiration for medicine research and disease prevention. Biomedical events …
which provides inspiration for medicine research and disease prevention. Biomedical events …
BioBERT and similar approaches for relation extraction
B Bhasuran - Biomedical Text Mining, 2022 - Springer
In biomedicine, facts about relations between entities (disease, gene, drug, etc.) are hidden
in the large trove of 30 million scientific publications. The curated information is proven to …
in the large trove of 30 million scientific publications. The curated information is proven to …
面向研究问题的深度学习事件抽取综述
万齐智， 万常选， 胡蓉， 刘德喜， 刘喜平， 廖国琼 - 自动化学报, 2023 - aas.net.cn
事件抽取是一个历史悠久且极具挑战的研究任务, 取得了大量优异的成果. 由于事件抽取涉及的
研究内容较多, 它们的目标和重心各不相同, 使得读者难以全面地了解事件抽取包含的研究任务 …
研究内容较多, 它们的目标和重心各不相同, 使得读者难以全面地了解事件抽取包含的研究任务 …
Probabilistic temporal semantic graph: a holistic framework for event detection in twitter
Event detection on social media platforms, especially Twitter, poses significant challenges
due to the dynamic nature and high volume of data. The rapid flow of tweets and the varied …
due to the dynamic nature and high volume of data. The rapid flow of tweets and the varied …
Generative Biomedical Event Extraction With Constrained Decoding Strategy
Currently, biomedical event extraction has received considerable attention in various fields,
including natural language processing, bioinformatics, and computational biomedicine. This …
including natural language processing, bioinformatics, and computational biomedicine. This …