Results 51 to 60 of about 104,722,032 (302)

A Machine Learning Filter for the Slot Filling Task

Information, 2018
Slot Filling, a subtask of Relation Extraction, represents a key aspect for building structured knowledge bases usable for semantic-based information retrieval.
Kevin Lange Di Cesare, Amal Zouaq, Michel Gagnon, Ludovic Jean-Louis   +3 more
doaj   +1 more source

Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network

Information, 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

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

, 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  

Using the Web to Reduce Data Sparseness in Pattern-based Information Extraction [PDF]

, 2007
Blohm S, Cimiano P. Using the Web to Reduce Data Sparseness in Pattern-based Information Extraction. In: Kok JN, Koronacki J, López de Mántaras R, Matwin S, Mladenic D, Skowron A, eds. Knowledge Discovery in Databases: PKDD 2007, 11th European Conference
Mladenic, Dunja, Philipp Cimiano, Koronacki, Jacek, López de Mántaras, Ramon, Matwin, Stan, Kok, Joost N., Blohm, Sebastian, Cimiano, Philipp ; https://orcid.org/, Sebastian Blohm, Skowron, Andrzej   +9 more
core   +1 more source

Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction

, 2021
Distant supervised relation extraction which is to extract heterogeneous relations from text data without manual annotation has been widely used in decision-making tasks such as question answering or recommendation system.
Li, Xuewei, Meng, Zechen, Ying, Xiang, Pan, Shirui, Yu, Mei, Zhao, Mankun   +5 more
core   +1 more source

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

IEEE 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, Avanti Bhandarkar, Olivia P. Dizon-Paradis, Ronald Wilson, Damon L. Woodard   +4 more
doaj   +1 more source

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

Digital 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

Sentence level relation extraction via relation embedding [PDF]

, 2021
Relation extraction is a task of information extraction that extracts semantic relations from text, which usually occur between two named entities. It is a crucial step for converting unstructured text into structured data that forms a knowledge base, so
Huang, Haojie
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

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, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

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

, 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, Welty, Chris (5283184), Aroyo, Lora, Anca Dumitrache (5283037), Aroyo, Lora (5283187), Anca Dumitrache   +5 more
core   +1 more source