Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

In this article, we introduce and discuss the pervasive issue of bias in the large language
models that are currently at the core of mainstream approaches to Natural Language …

In today's dynamic complex cyber environments, Cyber Threat Intelligence (CTI) and the risk
of cyberattacks are both increasing. This means that organizations need to have a strong …

Entity linking (EL) is the process of linking entity mentions appearing in web text with their
corresponding entities in a knowledge base. EL plays an important role in the fields of …

This paper presents an extended overview of the first edition of HIPE (Identifying Historical
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …

Natural language texts, such as tweets and news, contain a vast amount of geospatial
information, which can be extracted by first recognizing toponyms in texts (toponym …

Retrieval is a core component for open-domain NLP tasks. In open-domain tasks, multiple
entities can share a name, making disambiguation an inherent yet under-explored problem …

As an essential part of artificial intelligence, a knowledge graph describes the real-world
entities, concepts and their various semantic relationships in a structured way and has been …

The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation
(NED) at the heart of designing accurate KG-driven systems such as query answering …