Information retrieval Archives

Contextualizing Trending Entities in News Stories

Trends are those keywords, phrases, or names that are mentioned most often on social media or in news in a particular timeframe.They are an effective way for human news readers to both discover and stay focused on the most relevant information of the day. In this work, we consider trends…

Identifying Notable News Stories

14/04/2020 Blog Conference Papers Publications No Comments

The volume of news content has increased significantly in recent years and systems to process and deliver this information in an automated fashion at scale are becoming increasingly prevalent. One critical component that is required in such systems is a method to automatically determine how notable a certain news story…

Special issue on knowledge graphs and semantics in text analysis and retrieval

12/03/2019 Blog Journal Papers Publications No Comments

Knowledge graphs are an effective way to store semantics in a structured format that is easily used by computer systems. In the past few decades, work across different research communities led to scalable knowledge acquisition techniques for building large-scale knowledge graphs. The result is the emergence of large publicly available…

The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR)

08/07/2018 Blog Conference Papers Publications No Comments

Semantic technologies such as controlled vocabularies, thesauri, and knowledge graphs have been used throughout the history of information retrieval for a variety of tasks. Recent advances in knowledge acquisition, alignment, and utilization have given rise to a body of new approaches for utilizing knowledge graphs in text retrieval tasks and…

Utilizing Knowledge Graphs for Text-Centric Information Retrieval

08/07/2018 Blog Conference Papers Publications No Comments

The past decade has witnessed the emergence of several publicly available and proprietary knowledge graphs (KGs). The depth and breadth of content in these KGs made them not only rich sources of structured knowledge by themselves, but also valuable resources for search systems. A surge of recent developments in entity…

Overview of The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)

26/02/2018 Blog Journal Papers Publications No Comments

Knowledge graphs have been used throughout the history of information retrieval for a variety of tasks. Advances in knowledge acquisition and alignment technology in the last few years have given rise to a body of new approaches for utilizing knowledge graphs in text retrieval tasks. This report presents the motivation,…

The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)

26/07/2017 Blog Conference Papers Publications No Comments

Generating descriptions of entity relationships

10/01/2017 Blog Conference Papers Publications No Comments

Large-scale knowledge graphs (KGs) store relationships between entities that are increasingly being used to improve the user experience in search applications. The structured nature of the data in KGs is typically not suitable to show to an end user and applications that utilize KGs therefore benefit from human-readable textual descriptions…

Utilizing Knowledge Bases in Text-centric Information Retrieval (WSDM 2017)

09/01/2017 Blog Conference Papers Publications No Comments

The past decade has witnessed the emergence of several publicly available and proprietary knowledge graphs (KGs). The increasing depth and breadth of content in KGs makes them not only rich sources of structured knowledge by themselves but also valuable resources for search systems. A surge of recent developments in entity…

Utilizing Knowledge Bases in Text-centric Information Retrieval (ICTIR 2016)

12/09/2016 Blog Conference Papers Publications No Comments

General-purpose knowledge bases are increasingly growing in terms of depth (content) and width (coverage). Moreover, algorithms for entity linking and entity retrieval have improved tremendously in the past years. These developments give rise to a new line of research that exploits and combines these developments for the purposes of text-centric…

Edgar Meij

Tag: Information retrieval