Results 111 to 120 of about 5,797,629 (324)

Neural Relation Extraction with Selective Attention over Instances

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2016
Distant supervised relation extraction has been widely used to find novel relational facts from text. However, distant supervision inevitably accompanies with the wrong labelling problem, and these noisy data will substantially hurt the performance of ...
Yankai Lin   +4 more
semanticscholar   +1 more source

Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss

open access: yesEntropy, 2019
Drug-drug interactions (DDIs) may bring huge health risks and dangerous effects to a patient’s body when taking two or more drugs at the same time or within a certain period of time.
Xia Sun   +6 more
doaj   +1 more source

Extracting Hohfeldian Relations from Text

open access: yes, 2015
This paper presents a semi-automatic methodology and application for identifying the Hohfeldian relation Duty in legal text, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and its associated roles. The method incrementally supports scholars in their interpretation.
Peters Wim, Wyner Adam
openaire   +3 more sources

Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig   +13 more
wiley   +1 more source

Attention Guided Graph Convolutional Networks for Relation Extraction [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2019
Dependency trees convey rich structural information that is proven useful for extracting relations among entities in text. However, how to effectively make use of relevant information while ignoring irrelevant information from the dependency trees ...
Zhijiang Guo, Yan Zhang, Wei Lu
semanticscholar   +1 more source

A PRSZT Registry Analysis of Prognostic Factors Influencing Survival and Relapse Rates After Second Allogeneic Hematopoietic Stem Cell Transplantation in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm   +10 more
wiley   +1 more source

Span-based Joint Entity and Relation Extraction with Transformer Pre-training [PDF]

open access: yesEuropean Conference on Artificial Intelligence, 2019
We introduce SpERT, an attention model for span-based joint entity and relation extraction. Our key contribution is a light-weight reasoning on BERT embeddings, which features entity recognition and filtering, as well as relation classification with a ...
Markus Eberts, A. Ulges
semanticscholar   +1 more source

Gemcitabine, Docetaxel, Melphalan, Carboplatin as Part of Sequential Cycles of High‐Dose Chemotherapy With Autologous Hematopoietic Stem‐Cell Rescue for Multiply Relapsed/Refractory Pediatric Germ Cell Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Although most malignant germ cell tumors (GCTs) are highly curable with cisplatin‐based therapy, options for patients with multiply relapsed/refractory disease remain limited. For this population, we report the first pediatric use of gemcitabine, docetaxel, melphalan, and carboplatin (GemDMC) as part of sequential cycles of high‐dose ...
Maria Frost   +10 more
wiley   +1 more source

Novel Genetic Risk Factor Identified for L‐Asparaginase‐Induced Pancreatitis in Pediatric Patients With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack   +39 more
wiley   +1 more source

Upacicalcet: A Novel Intravenous Calcimimetic Agent for Patients Undergoing Hemodialysis With Secondary Hyperparathyroidism

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa   +3 more
wiley   +1 more source

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