Entity-aware self-attention
WebWe 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 tokens (words or … WebSpecifically, in the proposed framework, 1) we use an entity-aware word embedding method to integrate both relative position information and head/tail entity embeddings, …
Entity-aware self-attention
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WebRepulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu and Changyou Chen. TeaForN: Teacher-Forcing with N-grams. Sebastian Goodman, Nan Ding and Radu Soricut. LUKE: Deep Contextualized Entity Representations with Entity … Web**Relation Extraction** is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to …
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 … WebFigure 1: The framework of our approach (i.e. SeG) that consisting of three components: 1) entity-aware embedding 2) self-attention enhanced neural network and 3) a selective …
WebJan 28, 2024 · In this paper we use an entity-aware self-attentive to replace Bert’s original self-attention mechanism, using a new pre-training task to enhance the … 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".
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: Deep Contextualized Entity Representations with Entity-aware Self-attention: Official: Matching-the-Blanks (Baldini Soares et al., 2024) 71.5: Matching the Blanks: Distributional Similarity for Relation Learning C-GCN + PA-LSTM (Zhang et al. 2024) 68.2: Graph Convolution over Pruned Dependency Trees Improves Relation Extraction: Offical ekoplaza vlissingenWebJun 26, 2024 · Also in pretraining task, they proposed an extended version of the transformer, which considers an entity-aware self-attention and the types of tokens … ekoplaza zeistWeb“ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning.” In the 31th International Joint Conference on Artificial Intelligence (IJCAI), Pages 1081 - 1087, 2024. (oral paper) CCF-A Kun Zhang, Zhendong Mao*, Quan Wang, Yongdong, Zhang. “Negative-Aware Attention Framework for Image-Text Matching.” ekoplaza vitamine cWebOct 2, 2024 · 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 … ekoplaza waregemWebentity-aware self-attention mechanism. The other line of work focuses on fine-tuning pre-trained language models on text with linked en-tities using relation-oriented objectives. Specif-ically, BERT-MTB (Baldini Soares et al., 2024) proposes a matching-the-blanks objective that de-cides whether two relation instances share the same entities. teamapt limitedWebpropose an entity-aware self-attention mecha-nism that is an extension of the self-attention mechanism of the transformer, and consid-ers the types of tokens (words or … teamapplepieWebproposes an entity-aware self-attention mecha-nism. The other line of work focuses on con-tinually pretraining PLMs on text with linked en-tities using relation-oriented objectives. Specif-ically, BERT-MTB (Baldini Soares et al., 2024) proposes a matching-the-blanks objective that de-cides whether two relation instances share the same entities. teamarbeit