Knowledge enhanced sequential entity linking

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August undefined, 2024

WebEntity Linking (EL) is the task of mapping mentions in texts to the corresponding entities in knowledge bases. Existing studies mostly focus on joint disambiguation based on the … WebFeb 21, 2024 · Meta relational learning Approaches to Knowledge Graph Completion 64 of 96. 66. 1. Embedding-based (ranking) methods For the link prediction KGC task, i.e. for the KGC task with triples (h, r, t) with h or t missing: learn embedding vectors based on existing triples: during test, the missing h or t entity is predicted from the existing set E of ...

Learning Domain-Specialised Representations for Cross …

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. WebKnowledge Enhanced Sequential Entity Linking Introduction Knowledge Enhanced Sequential Entity Linking, a novel method which converts global entity linking into a … reasonable spread

Knowledge Enhanced Sequential Entity Linking - CoGC

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. 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). Web4 rows · 1. We propose a novel EL model, Knowledge Enhanced Sequential Entity Linking (KESEL), which ... reasonable standard

Enhancing Sequential Recommendation via Decoupled …

Leveraging Interactive Paths for Sequential Recommendation

WebQuestion answering over knowledge graph (KGQA), which automatically answers natural language questions by querying the facts in knowledge graph (KG), has drawn significant attention in recent years. In this paper, we focus on single-relation questions, which can be answered through a single fact in KG. This task is a non-trivial problem since capturing … 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. reasonable spa resortsWebApr 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 ... reasonable spring constant

"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 … " - Knowledge enhanced sequential entity linking

Knowledge enhanced sequential entity linking

Entity Linking Meets Deep Learning: Techniques and Solutions

WebApr 14, 2024 · A knowledge graph is a large-scale semantic network that generates new knowledge by acquiring information and integrating it into a knowledge base and then … WebSep 27, 2024 · Speech Entity Linking aims to recognize and disambiguate named entities in spoken languages. Conventional methods suffer gravely from the unfettered speech styles and the noisy transcripts generated by ASR systems. In this paper, we propose a novel approach called Knowledge Enhanced Named Entity Recognition (KENER), which focuses …

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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 … http://dbgroup.cs.tsinghua.edu.cn/wangjy/papers/TKDE14-entitylinking.pdf

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 … 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 …

WebJul 22, 2024 · Knowledge Enhanced Sequential Entity Linking Abstract: Entity Linking (EL) is the task of mapping mentions in texts to the corresponding entities in knowledge bases. Existing studies mostly focus on joint disambiguation based on the topical coherence, … WebSep 27, 2024 · In this paper, we propose a novel approach called Knowledge Enhanced Named Entity Recognition (KENER), which focuses on improving robustness through …

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 …

WebFew-shot sequence labeling is a general problem formulation for many natural language understanding tasks in data-scarcity scenarios, which require models to generalize to new types via only a few labeled examples. Recent advances mostly adopt metric-based meta-learning and thus face the challenges of modeling the miscellaneous Other prototype and … reasonable sr22 insuranceWebDiscourse, Pragmatics, and Knowledge Graphs. Lecture 15: Entity Linking. ENTITY. ANNOUNCEMENTS. HW4 has been released! HW2 . and. Phase 2 . and. Quiz 5 . are being graded. Research Project Phase 3 . due Oct 28 (Thurs) @ 11:59pm. I was able to get . ... Modelling Sequential Data with ELMo, BERT, Transformers, and other childhood heroes ... reasonable steps fcaWebIt 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. reasonable steps defenceWebSep 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. reasonable standard of careWebJun 27, 2024 · The knowledge-enhanced Sequential Recommender (KSR) [15] framework combines Gated Recurrent Units (GRU) network with a Key-Value memory network, where … reasonable steps defence discriminationWebﬁed 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 ... reasonable stepsWebEntity Linking with a Knowledge Base: Issues, Techniques, and Solutions Wei Shen, Jianyong Wang, Senior Member, IEEE, and Jiawei Han, Fellow, IEEE Abstract—The large … reasonable steakhouse near me