Improving entity linking with graph networks
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 … Witryna14 kwi 2024 · In recent years, research on knowledge graphs (KGs) has received considerable attention in both academia and industry communities. KGs usually store …
Improving entity linking with graph networks
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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 … Witryna8 kwi 2024 · Abstract. In this work, we focus on the problem of entity alignment in Knowledge Graphs (KG) and we report on our experiences when applying a Graph …
Witryna28 lip 2024 · Entity Linking (EL) ( Shen et al.,2015) is devoted to the disambiguation of mentions of named enti- ties such as persons, locations, and organizations. Basically, EL aims to resolve such... Witryna17 mar 2024 · NER can take advantage of the new advances in graphs and deep learning to apply to the dependency tree and explore its effects in the process of NER. Named Entity Recognition NER is used for the extraction of the entities from the given text such as identifying the names of a quantity, product name, person name etc.
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 … Witryna19 paź 2024 · EL models usually ignore such readily available entity attributes. In this paper, we examine the role of knowledge graph context on an attentive neural network approach for entity linking on Wikidata.
Witryna14 kwi 2024 · Rumor posts have received substantial attention with the rapid development of online and social media platforms. The automatic detection of rumor …
Witryna29 maj 2024 · To utilize the information contained in the relation when performing entity type prediction, we propose a method for entity type prediction based on relational aggregation graph attention network (RACE2T), which consists of an encoder relational aggregation graph attention network (FRGAT) and a decoder (CE2T). tourist places for senior citizensWitryna3 paź 2024 · Therefore, we observe the impacts of the link-based entity graph and embedding-based entity graph on the linking result. In Table 4, GCNLJ applies … tourist place out of indiaWitryna24 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... tourist places for kids in indiaWitryna3 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. … pot with base mixerWitryna10 wrz 2024 · We propose a graph neural network-based coreference resolution method that can capture the entity-centric information by encouraging the sharing of … pot with boiling water clip artWitrynaFGS2EE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})\\ … tourist places himachal pradeshWitryna18 lip 2024 · In this paper, we propose a new neural network model, called graph neural network (GNN) model, that extends existing neural network methods for processing … tourist place of rajasthan