Knowledge-rich self-supervised entity linking
WebEntity Linking in Tabular Data Needs the Right Attention. no code yet • 5 Jul 2024. We achieve constant memory usage by introducing a Tabular Entity Linking Lite model (TELL … WebIn this paper, we explore Knowledge-RIch Self- Supervision (KRISS) for entity linking, by leveraging readily available domain knowl- edge. In training, it generates self-supervised …
Knowledge-rich self-supervised entity linking
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WebJan 17, 2024 · Interactive Contrastive Learning for Self-supervised Entity Alignment Kaisheng Zeng, Zhenhao Dong, Lei Hou, Yixin Cao, Minghao Hu, Jifan Yu, Xin Lv, Juanzi Li, Ling Feng Self-supervised entity alignment (EA) aims to link equivalent entities across different knowledge graphs (KGs) without seed alignments. WebDec 15, 2024 · In this paper, we explore Knowledge-RIch Self-Supervision (KRISS) for entity linking, by leveraging readily available domain knowledge. In training, it generates self …
WebKnowledge-Rich Self-Supervised Entity Linking. [ Paper] Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao and … WebIn this paper, we explore Knowledge-RIch Self-Supervision (K R I S S) for biomedical entity linking, by leveraging readily available domain knowledge. In training, it generates self …
WebIn this paper, we explore Knowledge-RIch Self-Supervision (KRISS) for biomedical entity linking, by leveraging readily available domain knowledge. In training, it generates self-supervised mention examples on unlabeled text using a domain ontology and trains a contextual encoder using contrastive learning. WebDec 15, 2024 · In this paper, we explore Knowledge-RIch Self-Supervision () for biomedical entity linking, by leveraging readily available domain knowledge. In training, it generates self-supervised mention examples on unlabeled text using a domain ontology and trains a contextual encoder using contrastive learning.
WebIn this paper, we explore Knowledge-RIch Self-Supervision (KRISS) for entity linking by leverag-ing readily available domain knowledge to compen-sate for the lack of labeled …
WebMar 2, 2024 · Entity alignment, aiming to identify equivalent entities across different knowledge graphs (KGs), is a fundamental problem for constructing Web-scale KGs. Over the course of its development, the label supervision has been considered necessary for accurate alignments. linds nailWebJul 8, 2024 · The model is capable of generalising to large-scale knowledge bases such as Wikidata (which has 15 times more entities than Wikipedia) and of zero-shot entity … linds mens classic bowling shoesWebIn this paper, we explore Knowledge-RIch Self-Supervision (KRISS) for entity linking by leverag-ing readily available domain knowledge to compen-sate for the lack of labeled information (Figure 1). For entity linking, the most relevant knowledge source is the domain ontology. The core of an on-tology is the entity list, which specifies the unique hotpocket rail wrap slim standard w m-lokWebJun 26, 2024 · Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas Traditional entity linking systems assume that the schema of the knowledge base that ties the predicted entities together is known. They proposed a new method to convert the schema of unknown entities to BERT embedding using attributes and auxiliary tokens. linds new era bowling shoesWeb1 day ago · For self-supervision, we explore the two settings as described in the experimental procedures. In both cases, positive instances comprise patients with cancer on the diagnosis date. By default, negative instances comprise of randomly chosen days among non-cancer patients. ... Knowledge-rich self-supervised entity linking. Preprint at. arxiv ... hot pocket in microwaveWebJan 17, 2024 · Self-supervised entity alignment (EA) aims to link equivalent entities across different knowledge graphs (KGs) without seed alignments. The current SOTA self-supervised EA method draws inspiration from contrastive learning, originally designed in computer vision based on instance discrimination and contrastive loss, and suffers from … lindsmithWebDec 15, 2024 · Knowledge-Rich Self-Supervision for Biomedical Entity Linking Sheng Zhang, Hao Cheng, +6 authors Hoifung Poon Published in Conference on Empirical… 15 December 2024 Computer Science Entity linking faces significant challenges such as prolific variations and prevalent ambiguities, especially in high-value domains with myriad entities. linds necromancer robes