Dec 11, 2020 � This paper presents a novel method for metaphor processing based on knowledge graph (KG) embedding. Conceptually, we abstract the structure of a�...
Metaphor understanding is an interesting but challenging problem in natural language processing. This paper presents a novel method for metaphor processing�...
Dec 21, 2020 � Knowledge Graph Embedding based Metaphor Processing: We demonstrate that main metaphor processing tasks can be conducted as inference over�...
Jan 13, 2021 � In this study, we propose a knowledge graph-based metaphor embedding for understanding metaphor relations between words in literature.
Embedding of a knowledge graph. The vector representation of the entities and relations can be used for different machine learning applications.
Missing: Metaphor | Show results with:Metaphor
Jun 3, 2024 � This paper introduces a post-hoc explainable AI method tai- lored for Knowledge Graph Embedding models. These mod-.
Nov 23, 2022 � Abstract: In knowledge graph representation learning, link prediction is among the most popular and influential tasks.
Missing: Metaphor | Show results with:Metaphor
Jul 7, 2024 � This paper makes significant contributions to the understanding of KG embedding models by identifying three key learning mechanisms.
Missing: Metaphor | Show results with:Metaphor
A knowledge graph (KG) is a directed heterogeneous multigraph whose node and relation types have domain-specific semantics.
Missing: Metaphor | Show results with:Metaphor
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In this study, we propose a knowledge graph-based metaphor embedding for understanding metaphor relations between words in literature. We consider that there is�...