Improving entity linking with graph networks

Author: ybes

August undefined, 2024

Witryna20 kwi 2024 · ABSTRACT. Entity linking, which maps named entity mentions in a document into the proper entities in a given knowledge graph, has been shown to … Witryna7 kwi 2024 · Graph Databases Can Help You Disambiguate. The key of entity resolution task is to draw linkage between the digital entities referring to the same real-world entities. Graph is the most intuitive, and as we will also show later, the most efficient data structure used for connecting dots. Using graph, each digital entity or …

KAGN:knowledge-powered attention and graph convolutional …

Witryna28 sie 2024 · Here is two of the above list of spans that have the best score according to the example knowledge base: So it guessed "new york" is concept and "big apple" is … Witryna24 wrz 2024 · Entity linking (EL) is a fundamental task in natural language processing. Based on neural networks, existing systems pay more attention to the construction of the global model, but ignore... on the friday

Improving Hyper-relational Knowledge Graph Representation with …

Witryna期刊：Web Information Systems Engineering – WISE 2024文献作者：Ziheng Deng; Zhixu Li; Qiang Yang; Qingsheng Liu; Zhigang Chen出版日期：2024--DOI号 ... Improving Entity Linking with Graph Networks Witryna1 gru 2024 · Graph Neural Networks (GNN) are a class of neural networks designed to extract information from graphs. Given an input graph, GNN learns a latent … Witryna1 sty 2024 · The task of entity linking with knowledge graphs aims at linking mentions in text to their correct entities in a knowledge graph like DBpedia or YAGO2. Most of … ions of lead

Medical Entity Disambiguation Using Graph Neural Networks

Dynamic Graph Convolutional Networks for Entity Linking

Witryna28 paź 2024 · Entity Linking (EL) is the task of mapping entity mentions with specified context in an unstructured document to corresponding entities in a given Knowledge Base (KB), which bridges the gap between abundant unstructured text in large corpus and structured knowledge source, and therefore supports many knowledge-driven … Witryna1 sty 2024 · The task of entity linking with knowledge graphs aims at linking mentions in text to their correct entities in a knowledge graph like DBpedia or YAGO2. Most of existing methods rely on... on the fresh airWitryna25 lip 2024 · To link entities with ambiguity (e.g., authors), we propose heterogeneous graph attention networks to model different types of entities. Our extensive experiments and systematical analysis demonstrate that LinKG can achieve linking accuracy with an F1-score of 0.9510, significantly outperforming the state-of-the-art. ions of nh3

"Witryna20 kwi 2024 · Entity Linking (EL) aims to automatically link the mentions in unstructured documents to corresponding entities in a knowledge base (KB), which has recently … " - Improving entity linking with graph networks

Improving entity linking with graph networks

Witryna15 kwi 2024 · However, the knowledge graph, as a kind of heterogeneous graph, has rich contextual and structural information for each entity. Some graph convolutional … WitrynaFGS2EE包含四步：1）构建一个细粒度语义词的字典；2）从每个实体的维基文章中抽取语义类型词；3）为每个实体生成语义嵌入；4）通过线性聚合将语义嵌入和现有嵌入结合。二、背景和相关工作： 1、实体链接局部和全局分数局部分数 \Psi (e_ {i},c_ {j}) 独立地衡量每个mention候选实体的相关性： \Psi (e_ {i},c_ {j})=\bold {e_ {i}}^ {T}Bf (c_ {j})\\ …

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Witryna23 lis 2024 · T he main principle behind inductive methods indicates that machines are able to derive their own knowledge on the data, discovering and generalizing patterns … WitrynaEntity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most of the current methods are a combination of …

Witryna14 kwi 2024 · In recent years, research on knowledge graphs (KGs) has received considerable attention in both academia and industry communities. KGs usually store … WitrynaImproving Entity Linking with Graph Networks. This research is partially supported by National Key R&D Program of China (No. 2024AAA0101900), the Priority Academic …

Witryna2 lut 2024 · In the first part, we scrape articles from an Internet provider of news. Next, we run the articles through an NLP pipeline and store results in the form of a knowledge graph. In the last part of ... Witryna14 kwi 2024 · With the above analysis, in this paper, we propose a Class-Dynamic and Hierarchy-Constrained Network (CDHCN) for effectively entity linking.Unlike traditional label embedding methods [] embedded entity types statistically, we argue that the entity type representation should be dynamic as the meanings of the same entity type for …

Witryna20 paź 2024 · 1 Altmetric. Metrics. As one of the most important components in knowledge graph construction, entity linking has been drawing more and more …

Witryna14 kwi 2024 · Link prediction for knowledge graphs is the task of predicting missing relationships between entities. Previous work on link prediction has focused on … on the fringe dan radio styleWitrynaoptimize the coherence between all refereed entities in the document. Despite the success of the existing approaches, both local and global models have their problems … ions of pbWitryna3 Learning Graph-based Entity Vectors In order to make information from a semantic graph available for an entity linking system, we make use of graph embeddings. … ions of naohWitrynaImproving Entity Linking through Semantic Reinforced Entity Embeddings (ACL 2024) [Data and Code] Fine-grained semantic types of entities can let the linking models learn contextual commonality … on the fringe hair salon archbald paWitryna24 wrz 2024 · Entity linking (EL) is a fundamental task in natural language processing. Based on neural networks, existing systems pay more attention to the construction of … on the fringes crossword clueWitryna23 lut 2024 · Graph Completion 1322: Improving Entity Linking by Modeling Latent Entity Type Information Shuang Chen; Jinpeng Wang; Feng Jiang; Chin-Yew Lin Harbin Institute of Technology; Microsoft Research Asia; 3019: Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction Zhanqiu Zhang; Jianyu Cai; … ions of mgcl2 on the fringe poncho magazine