Dangling entity detection
WebWe propose three techniques for dangling entity detection that are based on the distribution of nearest-neighbor distances, i.e., nearest neighbor classification, marginal ranking and background ranking. WebMar 9, 2024 · In this paper, we propose a novel accurate Unsupervised method for joint Entity alignment (EA) and Dangling entity detection (DED), called UED. The UED …
Dangling entity detection
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WebIn this way, we use the distribution as prole of the neighborhood of a source entity s, then we adopt a simple feed-forward neural network (FNN) bi- nary classier to determine whether s is dangling. The probability of s being a dangling entity can be calculated as p(y = 1 js) = sigmoid (FNN (d )). WebMar 9, 2024 · The dangling entity set is unavailable in most real-world scenarios, and manually mining the entity pairs that consist of entities with the same meaning is labor-consuming. In this paper, we...
WebThe entity alignment module takes as input relational triples of two KGs (for KG embedding) and seed entity alignment (for alignment learning). As for the detection of dangling entities, the ... WebMar 11, 2024 · In the experimental part, we first show the superiority of SoTead on a commonly-used entity alignment dataset. Besides, to analyze the ability for dangling …
WebJun 4, 2024 · A novel accurate Unsupervised method for joint Entity alignment (EA) and Dangling entity detection (DED), called UED, which mines the literal semantic information to generate pseudo entity pairs and globally guided alignment information for EA and then utilizes the EA results to assist the DED. 1 Highly Influenced PDF WebAbstract. This paper studies a new problem setting of entity alignment for knowledge graphs (KGs). Since KGs possess different sets of entities, there could be entities that cannot find alignment across them, leading to the problem of dangling entitiesdangling entities
WebApr 7, 2024 · The dangling entity set is unavailable in most real-world scenarios, and manually mining the entity pairs that consist of entities with the same meaning is labor …
WebMar 11, 2024 · To improve EA with dangling entities, we propose an unsupervised method called Semi-constraint Optimal Transport for Entity Alignment in Dangling cases (SoTead). Our main idea is to model the entity alignment between two KGs as an optimal transport problem from one KG's entities to the others. shock ubraniaWebWe further discover that the dangling entity detection module can, in turn, improve alignment learning and the final performance. The contributed resource is publicly available to foster further research. This paper studies a new problem setting of entity alignment for knowledge graphs (KGs). Since KGs possess different sets of entities, there ... raccords 20x27WebMar 11, 2024 · In the experimental part, we first show the superiority of SoTead on a commonly-used entity alignment dataset. Besides, to analyze the ability for dangling entity detection with other baselines, we construct a medical cross-lingual knowledge graph dataset, MedED, where our SoTead also reaches state-of-the-art performance. READ … raccord rectus type 21Webentity also works as a dangling entities detector in the solution of our semi-constraint OT optimiza-tion, for only dangling entities in the target KG with match to it. To empirically demonstrate the ef-fectiveness of our SoTead method, we conduct the experiments on both the entity alignment (EA) and dangling entity detection (DED) tasks. Since ... raccord refoulement pompeWebJun 4, 2024 · The framework can opt to abstain from predicting alignment for the detected dangling entities. We propose three techniques for dangling entity detection that are based on the distribution of... shockumentaries listWebMay 5, 2024 · We propose a framework using mixed high-order proximities on dangling-aware entity alignment. Our framework utilizes both the local high-order proximity in a nearest neighbor subgraph and the global high-order proximity in an embedding space for both dangling detection and entity alignment. Extensive experiments with two … shock unit gWebWe propose three techniques for dangling entity detection that are based on the distribution of nearest-neighbor distances, i.e., nearest neighbor classification, marginal … raccord rectus 21