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Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence

التفاصيل البيبلوغرافية
العنوان: Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
المؤلفون: Seongsik Park, Harksoo Kim
المصدر: Applied Sciences, Vol 10, Iss 11, p 3851 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: relation extraction, dual pointer network, context-to-entity attention, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Relation extraction is a type of information extraction task that recognizes semantic relationships between entities in a sentence. Many previous studies have focused on extracting only one semantic relation between two entities in a single sentence. However, multiple entities in a sentence are associated through various relations. To address this issue, we proposed a relation extraction model based on a dual pointer network with a multi-head attention mechanism. The proposed model finds n-to-1 subject–object relations using a forward object decoder. Then, it finds 1-to-n subject–object relations using a backward subject decoder. Our experiments confirmed that the proposed model outperformed previous models, with an F1-score of 80.8% for the ACE (automatic content extraction) 2005 corpus and an F1-score of 78.3% for the NYT (New York Times) corpus.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 10113851
2076-3417
Relation: https://www.mdpi.com/2076-3417/10/11/3851; https://doaj.org/toc/2076-3417
DOI: 10.3390/app10113851
URL الوصول: https://doaj.org/article/72852ac9a6224752ade1bd214ac8a86f
رقم الأكسشن: edsdoj.72852ac9a6224752ade1bd214ac8a86f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10113851
20763417
DOI:10.3390/app10113851