Web1 day ago · We also propose an entity-aware self-attention mechanism that is an extension of the self-attention mechanism of the transformer, and considers the types of … WebLUKE (Yamada et al.,2024) proposes an entity-aware self-attention to boost the performance of entity related tasks. SenseBERT (Levine et al., 2024) uses WordNet to infuse the lexical semantics knowledge into BERT. KnowBERT (Peters et al., 2024) incorporates knowledge base into BERT us-ing the knowledge attention. TNF (Wu et …
LUKE: Deep Contextualized Entity Representations with Entity-aware Self ...
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WebMar 3, 2024 · The entity-aware module and self-attention module contribute 0.5 and 0.7 points respectively, which illustrates that both layers promote our model to learn better relation representations. When we remove the feedforward layers and the entity representation, F1 score drops by 0.9 points, showing the necessity of adopting “multi … WebNov 9, 2024 · LUKE (Language Understanding with Knowledge-based Embeddings) is a new pretrained contextualized representation of words and entities based on transformer.It was proposed in our paper LUKE: Deep Contextualized Entity Representations with … Entity Mapping Preprocessing #169 opened Nov 17, 2024 by kimwongyuda. 1. … LUKE -- Language Understanding with Knowledge-based Embeddings - Pull … Examples Legacy - GitHub - studio-ousia/luke: LUKE -- Language … Luke - GitHub - studio-ousia/luke: LUKE -- Language Understanding with ... 312 Commits - GitHub - studio-ousia/luke: LUKE -- Language Understanding with ... WebSTEA: "Dependency-aware Self-training for Entity Alignment". Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon. (WSDM 2024) Dangling-Aware Entity Alignment. This section covers the new problem setting of entity alignment with dangling cases. (Muhao: Proposed, and may be reorganized) "Knowing the No-match: Entity Alignment with Dangling Cases". royal reg of scotland