4 天之前 · Bosung Kim, Taesuk Hong, Youngjoong Ko, and Jungyun Seo. 2020. Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models . In Proceedings of the 28th International Conference on Computational Linguistics , …

Accordingly, we propose a new KGC method named PDKGC with two prompts — a hard task prompt which is to adapt the KGC task to the PLM pre-training task of token prediction, and a disentangled structure prompt which learns disentangled graph representation so as to enable the PLM to combine more relevant structure knowledge with the text ...

Attend KGC 2025 in person in NYC or virtually from May 5-9, 2025. Join leading experts and industry thought leaders. Leverage the community-organized nature of the event, intended for networking, collaboration, dissemination of new ideas, and learning.

KGC 2020 • 19m Q&A of the 4th session with Silviu Cucerzan of Microsoft Research, Konstantin Todorov of the University of Montpellier, and Dylan Roy from Dow Jones. Share with friends

KGC 2020 • 19m The Information Management team (including Nicolas Seyot) at Morgan Stanley has built an RDF graph and a semantic knowledge base to help answer domain specific questions, formulate classification recommendations and deliver quality search to …

2020年8月9日 · 少样本知识图谱补全（fkgc）是目前知识图谱补全任务的一个研究热点，旨在拥有少量样本数据的情况下，完成知识图谱补全任务。 该任务在实际应用和 知识图谱 领域都有着重要的研究意义,为了进一步促进F KGC 领域的发展，对目前各类方法进行了全面总结和分析。

The new KGC YouTube Channel now hosts keynote talks, panel discussions, workshops, and tutorials from the event. It covers tracks and themes from the KGC programs: Data Architecture, Graph Data Science, SEO, Graph Deep Learning, Libraries, Decentralization/web3, KG4Good, NLP, Ontologies and Taxonomies, EU Projects, Technology Landscape, Open ...

以下为EMNLP 2020知识图谱补全（Knowledge Graph Completion （KGC））必读的五篇论文——知识图谱补全数据集、少样本知识图谱补全、时序知识图谱补全。 CODEX: A Comprehensive Knowledge Graph Completion Benchmark CODEX：全面的知识图谱补全基准

© 2020, Amazon Web Services, Inc. or its affiliates. All rights reserved. Outline Some background graphs semantics the Semantic Web, Linked Data WhatisaKnowledge Graph?

2022年12月31日 · 少样本知识图谱补全（fkgc）是目前知识图谱补全任务的一个研究热点，旨在拥有少量样本数据的情况下，完成知识图谱补全任务。 该任务在实际应用和 知识图谱 领域都有着重要的研究意义,为了进一步促进F KGC 领域的发展，对目前各类方法进行了全面总结和分析。