Results 61 to 70 of about 745,152 (307)
Enriching Relation Extraction with OpenIE
Relation extraction (RE) is a sub-discipline of information extraction (IE) which focuses on the prediction of a relational predicate from a natural-language input unit (such as a sentence, a clause, or even a short paragraph consisting of multiple sentences and/or clauses).
Alessandro Temperoni +2 more
openaire +2 more sources
CrowdTruth for medical relation extraction
<p>First release of <strong>CrowdTruth</strong> ground truth datasets and data analysis for <strong>medical relation extraction</strong>.</p ...
Anca Dumitrache (5283037) +1 more
core +1 more source
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
The impact of enriched linguistic annotation on the performance of extracting relation triples
A relation extraction system recognises pre-defined relation types between two identified entities from natural language documents. It is important for a task of automatically locating missing instances in knowledge base where the instance is represented
Lewis, Paul +5 more
core +1 more source
Relation extraction based on CNN and Bi-LSTM
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
doaj +1 more source
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations
Named Entity Recognition and Relation Extraction are two crucial and challenging subtasks in Information Extraction. Despite the successes achieved by the traditional approaches, fundamental research questions remain open.
Yao Wang +6 more
doaj +1 more source
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker +11 more
wiley +1 more source
Unsupervised Relation Extraction for E-Learning Applications [PDF]
A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of PhilosophyIn this modern era many educational institutes and business organisations are adopting the e-Learning approach as it ...
Naveed Afzal, Afzal, Naveed
core
Medical Relation Extraction Gold Standard with CrowdTruth
<p>The lack of annotated datasets for training and benchmarking is one of the main challenges of Clinical Natural Language Processing. In addition, current methods for collecting annotations attempt to minimize disagreement between annotators, and ...
Lora Aroyo +5 more
core +1 more source

