DMEL

DMEL数据集是由五个现有数据集构建而成，包括GERBIL、WikiDiverse、MELBench、Squall和SLSQL，涵盖了多种实体链接任务。该数据集旨在通过文本、图像和表格三种模态的数据，实现对知识库中实体的链接。DMEL数据集的创建是为了推动多模态实体链接技术的发展，特别是在处理异构信息源中的实体提及时。该数据集的应用领域包括问答系统和推荐系统，旨在解决实体链接中的歧义和多样性问题。The DMEL dataset is constructed from five existing datasets, namely GERBIL, WikiDiverse, MELBench, Squall, and SLSQL, covering a broad spectrum of entity linking tasks. It is designed to enable entity linking against structured knowledge bases using multi-modal data encompassing text, images, and tables. The development of the DMEL dataset aims to advance the research of multi-modal entity linking technologies, particularly in handling entity mentions across heterogeneous information sources. This dataset finds applications in question answering systems and recommendation systems, with the core objective of resolving ambiguity and diversity challenges inherent in entity linking tasks.

搜集汇总

背景与挑战

背景概述

DMEL数据集是一个多模态实体链接数据集，整合了五个现有数据集，涵盖文本、图像和表格三种模态，旨在解决实体链接中的歧义和多样性问题，适用于问答系统和推荐系统等领域。