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 Webentity alignment with dangling cases, as illustrated inFig. 2. It has two jointly optimized modules, i.e., entity alignment and dangling entity detection. The entity alignment …
Exploring and Evaluating Attributes, Values, and Structures for Entity …
WebJun 28, 2024 · DBP2.0 DBP2.0 is a dataset for entity alignment with dangling cases, proposed by the ACL-2024 paper "Knowing the No-match: Entity Alignment with Dangling Cases". Browse Search Explore more content DBP2.0.zip(46.46 MB) File infoDownload file Fullscreen DBP2.0 CiteDownload(46.46 MB)ShareEmbed dataset 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... chrysler ram warranty plans
OpenEA/README.md at master · nju-websoft/OpenEA · GitHub
Web071 high-order proximity for dangling entity detection. 072 Despite a fairly high cosine similarity, the source 073 entity 4 is not the nearest neighbor of target entity 074 B, indicating that 4 is likely to be dangling. In con-075 trast, 1 and A are mutual nearest neighbors even 076 with a relatively low similarity, indicating that 1 is WebDangling Entity Detection Several recent studies emphasize the problem of dangling entities in EA tasks.Zhao et al.(2024) andZeng et al.(2024) introduce threshold-based methods to identify dangling entities according to the distance between a source entity and its closest target entity. These two methods identify dangling 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 )). describe how animals adapt to the desert