Machine knowledge: Creation and curation of comprehensive knowledge bases
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 …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
Knowledge graphs meet multi-modal learning: A comprehensive survey
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 …
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
Biases in large language models: origins, inventory, and discussion
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 …
models that are currently at the core of mainstream approaches to Natural Language …
Recent progress of using knowledge graph for cybersecurity
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 …
of cyberattacks are both increasing. This means that organizations need to have a strong …
Entity linking meets deep learning: Techniques and solutions
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 …
corresponding entities in a knowledge base. EL plays an important role in the fields of …
Extended overview of CLEF HIPE 2020: named entity processing on historical newspapers
M Ehrmann, M Romanello, A Flückiger… - CEUR Workshop …, 2020 - zora.uzh.ch
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 …
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …
[HTML][HTML] How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
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 …
information, which can be extracted by first recognizing toponyms in texts (toponym …
Evaluating entity disambiguation and the role of popularity in retrieval-based NLP
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 …
entities can share a name, making disambiguation an inherent yet under-explored problem …
A survey on multimodal knowledge graphs: Construction, completion and applications
Y Chen, X Ge, S Yang, L Hu, J Li, J Zhang - Mathematics, 2023 - mdpi.com
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 …
entities, concepts and their various semantic relationships in a structured way and has been …
Named entity disambiguation in short texts over knowledge graphs
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 …
(NED) at the heart of designing accurate KG-driven systems such as query answering …