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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

Kernelized Hashcode Representations for Relation Extraction

, 2019
Kernel methods have produced state-of-the-art results for a number of NLP tasks such as relation extraction, but suffer from poor scalability due to the high cost of computing kernel similarities between natural language structures.
Cecchi, Guillermo, Galstyan, Aram, Gao, Shuyang, Garg, Sahil, Rish, Irina, Steeg, Greg Ver   +5 more
core   +1 more source

Neural Temporal Relation Extraction [PDF]

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, 2017
We experiment with neural architectures for temporal relation extraction and establish a new state-of-the-art for several scenarios. We find that neural models with only tokens as input outperform state-of-the-art hand-engineered feature-based models, that convolutional neural networks outperform LSTM models, and that encoding relation arguments with ...
Dmitriy Dligach, Timothy Miller, Chen Lin, Steven Bethard, Guergana Savova   +4 more
openaire   +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

Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction

, 2018
Distant supervision leverages knowledge bases to automatically label instances, thus allowing us to train relation extractor without human annotations.
Liu, Liyuan, Pu, Shiliang, Ren, Xiang, Tang, Siliang, Wu, Fei, Yuan, Yujin, Zhang, Zhongfei, Zhuang, Yueting   +7 more
core   +1 more source

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.
Elsahar, Hady, Demidova, Elena, Gottschalk, Simon, Gravier, Christophe, Laforest, Frederique   +4 more
openaire   +2 more sources

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

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 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
doaj   +1 more source

Towards a relation extraction framework for cyber-security concepts

, 2015
In order to assist security analysts in obtaining information pertaining to their network, such as novel vulnerabilities, exploits, or patches, information retrieval methods tailored to the security domain are needed.
Bridges R. A., Brin S., Carlson A., de Lacalle O. L., Jones R.   +4 more
core   +1 more source