Results 41 to 50 of about 1,302,763 (303)
Latent Relational Model for Relation Extraction
, 2019 Analogy is a fundamental component of the way we think and process thought. Solving a word analogy problem, such as mason is to stone as carpenter is to wood, requires capabilities in recognizing the implicit relations between the two word pairs. In this paper, we describe the analogy problem from a computational linguistics point of view and explore ...
Gaetano Rossiello +3 more
openaire +2 more sources
Graph Adaptation Network with Domain-Specific Word Alignment for Cross-Domain Relation Extraction
Sensors, 2020 Cross-domain relation extraction has become an essential approach when target domain lacking labeled data. Most existing works adapted relation extraction models from the source domain to target domain through aligning sequential features, but failed to ...
Zhe Wang +5 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 +5 more
core +1 more source
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 +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
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 +7 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 +4 more
openaire +1 more source
Chinese relation extraction for constructing satellite frequency and orbit knowledge graph: A survey
Digital Communications and NetworksAs 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
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 +4 more
openaire +2 more sources
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source