Titlebook: Entity Alignment; Concepts, Recent Adv Xiang Zhao,Weixin Zeng,Jiuyang Tang Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s

micturition

Unsupervised Entity Alignmenthe alignment performance by enriching the pseudo-labeled data with alignment results from the previous round. Our solution does not require labeled data and can effectively filter out unmatchable entities. Comprehensive experimental evaluations validate its superiority.

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相一致

Translating Film Subtitles into ChineseIn this section, we provide a concise overview of the entity alignment task and also discuss other related tasks that have a close connection to entity alignment.

粗鄙的人

Inferior

Translating Martial and Vergil,In this chapter, we introduce recent progress of the alignment inference stage.

commensurate

繁忙

Recent Advance of Representation Learning StageOver the last few years, there are a pile of research devoted to learning better KG representations to facilitate entity alignment. Thus, in this chapter, we summarize recent progress in the representation learning stage of EA and also provide a detailed empirical evaluation to reveal the strengths and weaknesses of current solutions.

FELON

Recent Advance of Alignment Inference StageIn this chapter, we introduce recent progress of the alignment inference stage.

Alcove

Vasoconstrictor