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Weakly Supervised Relation Extraction
Relation extraction is crucial for many natural language processing applications, such as question answering and text summarization. Although there...
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Joint entity and relation extraction model based on directed-relation GAT oriented to Chinese patent texts
The joint extraction task aims to construct an entity-relation triple comprising two entities and the relation between them. Existing joint models...
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Relation Extraction Model Based on Global Pointer and Potential Relation Embedding
Relationship extraction means automatically extracting the relationship triples from a large amount of unstructured text, which is an important...
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Efficient relation extraction via quantum reinforcement learning
Most existing relation extraction methods only determine the relation type after identifying all entities, thus not fully modeling the interaction...
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Context-aware generative prompt tuning for relation extraction
Relation extraction is designed to extract semantic relation between predefined entities from text. Recently, prompt tuning has achieved promising...
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Joint entity and relation extraction combined with multi-module feature information enhancement
The proposed method for joint entity and relation extraction integrates the tasks of entity extraction and relation classification by sharing the...
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Joint Entity Relation Extraction Based on LSTM via Attention Mechanism
Entity relation extraction holds a significant role in extracting structured information from unstructured text, serving as a foundational component...
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On Measuring the Solvability of a Fuzzy Relation Equation
Solvability of fuzzy relation equations is a problem that often arises when it comes to modelling databases. When a fuzzy relation equation is...
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Interval Traces with Mutex Relation
Interval traces can model sophisticated behaviours of concurrent systems under the assumptions that all observations/system runs are represented by...
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Interactive optimization of relation extraction via knowledge graph representation learning
Relation extraction is a vital task in constructing large-scale knowledge graphs, aiming to identify factual relations between entities from plain...
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Computational Investigation on the Empirical Relation of Murray’s Law
The human circulatory system is complex, and about one-sixth of the resting metabolic rate is consumed for kee** the blood flowing through the...
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LTACL: long-tail awareness contrastive learning for distantly supervised relation extraction
Distantly supervised relation extraction is an automatically annotating method for large corpora by classifying a bound of sentences with two same...
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Genre: generative multi-turn question answering with contrastive learning for entity–relation extraction
Extractive approaches have been the mainstream paradigm for identifying overlap** entity–relation extraction. However, limited by their inherently...
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On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation
An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
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Relation with Others
After the above mentioned chapters, devoted to Soft Skills with a more general character, now some Soft Skills are examined, related particularly to...
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Topological reduction algorithm for relation systems
A relation system, as an extension of information systems, is a significant form of representation and discovery of knowledge in rough set theory....
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Social relation based DAG blockchain inspired healthcare of livestock
This paper presents an integrated blockchain solution for health monitoring of livestock and leverages the Directed Acyclic Graph (DAG) based...
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Relation correlations-aware graph convolutional network with text-enhanced for knowledge graph embedding
Long-tail distribution is a difficult challenge for knowledge graph embedding. We expect to solve the problem by complementing the information...
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Relation-attention semantic-correlative knowledge graph embedding for inductive link prediction
Link prediction has increasingly been the focus of significant research interest, benefited from the explosion of machine learning and deep learning...
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Deep Learning-Based Relation Extraction Model for Chinese Medical Case in 6G Cyber Physical Model
In the 6G healthcare transformation field, the proposed study, “GraphSynt”-A combined Graph Convolution and Syntactic Dependency method for advanced...
