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IEEE AccessRelation extraction is a Natural Language Processing task that aims to extract relationships from textual data. It is a critical step for information extraction.
Anushka Swarup +4 more
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Chinese relation extraction for constructing satellite frequency and orbit knowledge graph: A survey
Digital Communications and NetworksAs Satellite Frequency and Orbit (SFO) constitute scarce natural resources, constructing a Satellite Frequency and Orbit Knowledge Graph (SFO-KG) becomes crucial for optimizing their utilization.
Yuanzhi He, Zhiqiang Li, Zheng Dou
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A Survey Study on Relation Extraction for Web Pages [PDF]
مجلة التربية والعلم, 2020 Natural language means a language that is used for communication by human. Natural Language Processing (NLP) helps machines to understand the natural language.
Ghada Alsaigh +2 more
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Neural relation extraction: a survey
CoRR, 2020 Neural relation extraction discovers semantic relations between entities from unstructured text using deep learning methods. In this study, we present a comprehensive review of methods on neural network based relation extraction. We discuss advantageous and incompetent sides of existing studies and investigate additional research directions and ...
Mehmet Aydar, Ozge Bozal, Furkan Özbay
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Kernel methods for relation extraction [PDF]
Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02, 2002 Summary: We present an application of kernel methods to extracting relations from unstructured natural language sources. We introduce kernels defined over shallow parse representations of text, and design efficient algorithms for computing the kernels.
Dmitry Zelenko +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
Relation extraction based on CNN and Bi-LSTM
网络与信息安全学报, 2018 Relation extraction aims to identify the entities in the Web text and extract the implicit relationships between entities in the text.Studies have shown that deep neural networks are feasible for relation extraction tasks and are superior to traditional ...
Xiaobin ZHANG,Fucai CHEN,Ruiyang HUANG
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Unsupervised Open Relation Extraction [PDF]
, 2017 We explore methods to extract relations between named entities from free text in an unsupervised setting. In addition to standard feature extraction, we develop a novel method to re-weight word embeddings. We alleviate the problem of features sparsity using an individual feature reduction.
Hady ElSahar +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian +13 more
wiley +1 more source