Articles with "event extraction" as a keyword



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Multiscale Laplacian graph kernel combined with lexico-syntactic patterns for biomedical event extraction from literature

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Published in 2021 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-020-01514-8

Abstract: Bio-event extraction is an extensive research area in the field of biomedical text mining, this focuses on elaborating relationships between biomolecules and can provide various aspects of their nature. Bio-event extraction plays a vital role… read more here.

Keywords: laplacian graph; multiscale laplacian; graph kernel; event ... See more keywords
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Topic-informed neural approach for biomedical event extraction

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Published in 2020 at "Artificial intelligence in medicine"

DOI: 10.1016/j.artmed.2019.101783

Abstract: As a crucial step of biological event extraction, event trigger identification has attracted much attention in recent years. Deep representation methods, which have the superiorities of less feature engineering and end-to-end training, show better performance… read more here.

Keywords: biomedical event; approach biomedical; event; event extraction ... See more keywords
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Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3004378

Abstract: Event Extraction plays an important role in information-extraction to understand the world. Event extraction could be split into two subtasks: one is event trigger extraction, the other is event arguments extraction. However, the F1-Score of… read more here.

Keywords: event extraction; arguments extraction; dilate gated; event arguments ... See more keywords
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LSTM-Based End-to-End Framework for Biomedical Event Extraction

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Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2019.2916346

Abstract: Biomedical event extraction plays an important role in the extraction of biological information from large-scale scientific publications. However, most state-of-the-art systems separate this task into several steps, which leads to cascading errors. In addition, it… read more here.

Keywords: event extraction; end end; biomedical event; extraction ... See more keywords
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Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks

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Published in 2020 at "BMC Bioinformatics"

DOI: 10.1186/s12859-020-3376-2

Abstract: Background Biomedical event extraction is a fundamental and in-demand technology that has attracted substantial interest from many researchers. Previous works have heavily relied on manual designed features and external NLP packages in which the feature… read more here.

Keywords: deep neural; neural networks; biomedical event; event ... See more keywords
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An Event Extraction Approach Based on a Multi-Round Q&A Framework

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Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13106308

Abstract: Event extraction aims to present unstructured text containing event information in a structured form to help people quickly mine the target information. Most of the traditional event extraction methods focus on the design of complex… read more here.

Keywords: multi round; event extraction; event; extraction ... See more keywords