Results 51 to 60 of about 745,152 (307)

Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network

open access: yesInformation, 2020
Distantly Supervised relation extraction methods can automatically extract the relation between entity pairs, which are essential for the construction of a knowledge graph.
Xiaoye Ouyang, Shudong Chen, Rong Wang
doaj   +1 more source

A Survey Study on Relation Extraction for Web Pages [PDF]

open access: yesمجلة 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
doaj   +1 more source

Applying Natural Language Processing Techniques for Sentence-Level Relation Extraction: Analysis and Performance Evaluation

open access: yes, 2023
openThis study explores the field of sentence-level relation extraction in the context of natural language processing (NLP) applications. We have analyzed many approaches, including document-level relation extraction, in the goal of creating a reliable ...
TUNCER, MERVE
core  

BlogForever D2.6: Data Extraction Methodology [PDF]

open access: yes, 2013
This report outlines an inquiry into the area of web data extraction, conducted within the context of blog preservation. The report reviews theoretical advances and practical developments for implementing data extraction.
Stepanyan, K.   +4 more
core   +1 more source

Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities

open access: yesIEEE Access
Relation 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
doaj   +1 more source

Neural relation extraction: a survey

open access: yesCoRR, 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
openaire   +2 more sources

Kernel methods for relation extraction [PDF]

open access: yesProceedings 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
openaire   +3 more sources

Chinese relation extraction for constructing satellite frequency and orbit knowledge graph: A survey

open access: yesDigital Communications and Networks
As 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
doaj   +1 more source

Medical-Relation-Extraction: CrowdTruth Ground Truth for Medical Relation Extraction

open access: yes, 2016
<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 ...
Welty, Chris   +5 more
core   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele   +19 more
wiley   +1 more source

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