Knowledge enhanced sequential entity linking

Author: kjuy

August undefined, 2024

WebIn this work, by proposing a novel cross-lingual biomedical entity linking task (XL-BEL) and establishing a newXL-BELbenchmark spanning 10 typolog- ically diverse languages, we ﬁrst investigate the ability of standard knowledge-agnostic as well as knowledge-enhanced monolingual and multilingual LMs beyond the standard mono- lingual EnglishBELtask.

Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks

WebApr 12, 2024 · Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising ... Sequential training of GANs against GAN-classifiers reveals correlated “knowledge … WebJul 7, 2024 · In this work, we propose a knowledge-enhanced recommendation method using graph neural networks and memory networks to tackle the sequential … dynamic heat control manual

Knowledge Enhanced Sequential Entity Linking - CoGC

WebEntity Linking and Named Entity Recognition, and encourage further studies on high-performance EL systems for scenarios in which only a small amount of labeled data is … WebApr 14, 2024 · Conditional phrases provide fine-grained domain knowledge in various industries, including medicine, manufacturing, and others. Most existing knowledge extraction research focuses on mining triplets with entities and relations and treats that triplet knowledge as plain facts without considering the conditional modality of such … Web4 rows · 1. We propose a novel EL model, Knowledge Enhanced Sequential Entity Linking (KESEL), which ... crystal\u0027s a1

Knowledge-Graph-Tutorials-and-Papers/Entity Linking and Entity ... - Github

KAGN:knowledge-powered attention and graph convolutional …

WebJul 18, 2024 · Knowledge Enhanced Sequential Entity Linking Authors: Yu Liu Shi Wang Chinese Academy of Sciences Kangli Zi Jicun Li 20+ million members 135+ million … WebFeb 10, 2024 · Entity linking is a pivotal factor for building robust Question Answering systems over Knowledge Graphs (KGQA), and representation of entities occupies an … dynamic heat control kitWebApr 14, 2024 · Our model KAGN is a knowledge-enhanced deep neural network to model the semantic-level representations in a unified framework. ... one limitation of our method is that the performance of KAGN is influenced by the accuracy of external entity linking tools and knowledge bases, which is beyond our control. ... Dernoncourt F. Sequential short-text ... dynamic heat control installation manual

"Webﬁed Knowledge-enhanced Text Graph as shown in Fig. 1, which is made of three kinds of graph: (1) The injected knowledge graphs, referred to as the “KG only” part; (2) The graph about entity mentions in the text and mentioned entities in KGs, referred to as the “entity link to token” part. Entity mentions in the text are linked with ... " - Knowledge enhanced sequential entity linking

Knowledge enhanced sequential entity linking

GFE: General Knowledge Enhanced Framework for Explainable Sequential …

WebJan 7, 2024 · This dataset is first used in《Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks》 [2]. Datasets In our KB4Rec v1.0 dataset, we … WebApr 14, 2024 · Entity disambiguation, also known as entity linking, is the task of mapping mentions in text to the corresponding entities in a given knowledge base, e.g., Wikipedia.

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WebJul 7, 2024 · Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions. IEEE Transactions on Knowledge and Data Engineering , Vol. 27 (2015), 443--460. Cees GM Snoek, Marcel Worring, and Arnold WM Smeulders. 2005. Early Versus Late Fusion in Semantic Video Analysis. Webbe unconscious. be unconversant with. be uneducated. be unenlightened. be unenlightened about. be unfamiliar with. be uninformed. be uninformed about. be uninitiated in.

WebApr 7, 2024 · Abstract Injecting external domain-specific knowledge (e.g., UMLS) into pretrained language models (LMs) advances their capability to handle specialised in-domain tasks such as biomedical entity linking (BEL). However, such abundant expert knowledge is available only for a handful of languages (e.g., English). WebJun 27, 2024 · The knowledge-enhanced Sequential Recommender (KSR) [15] framework combines Gated Recurrent Units (GRU) network with a Key-Value memory network, where …

WebOct 20, 2024 · On one hand, we propose a simple but effective coarse-to-fine unsupervised knowledge base (KB) extraction approach to improve the quality of KB, through which we … WebMar 28, 2024 · To help students choose the knowledge concepts that meet their needs so that they can learn courses in a more personalized way, thus improving the effectiveness of online learning, this paper proposes a knowledge concept recommendation model based on tensor decomposition and transformer reordering. Firstly, the student tensor, knowledge …

WebIt is vital for sequential recommendation to provide accurate and explainable results for user, which can help them make better decisions. In this paper, we develop a General Knowledge Enhanced Framework for Explainable Sequential Recommendation (GFE) to capture user’s fine-grained preferences and dynamic preferences evolution.

WebFeb 10, 2024 · Knowledge graph (KG) is a heterogeneous graph, in which nodes are entities and edges represent relations between entities. The items and their attributes in the recommender system can be mapped to KG’s entities which makes it easy to learn more about the relationship between items. dynamic hearing wakefieldWebKnowledge Graph Attention for Sequential Recommendations 3 mechanism and spatial information via a knowledge graph attention mechanism. To summarize, the key contributions of this work are: •KATRec builds on a knowledge graph neural network that captures multi-relationships between items by tying them together using the underlying … crystal\\u0027s a2WebSep 26, 2024 · Entity Linking Meets Deep Learning: Techniques and Solutions Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan Entity linking (EL) is the process of linking entity mentions appearing in web text with their corresponding entities in a knowledge base. dynamic heaters