Non-named Entities – The Silent Majority

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Knowledge Bases (KBs) usually contain named entities. However, the majority of entities in natural language text are not named. In this position paper, we first study the nature of these entities. Then we explain how they could be represented in KBs. Finally, we discuss open challenges for adding non-named entities systematically to KBs.

Original languageEnglish
Title of host publicationThe Semantic Web
Subtitle of host publicationESWC 2021 Satellite Events, Revised Selected Papers
EditorsRuben Verborgh, Anastasia Dimou, Aidan Hogan, Claudia d’Amato, Ilaria Tiddi, Arne Bröring, Simon Maier, Femke Ongenae, Riccardo Tommasini, Mehwish Alam
PublisherSpringer Science and Business Media Deutschland GmbH
Pages131-135
Number of pages5
ISBN (Print)9783030804176
DOIs
Publication statusPublished - 1 Jan 2021
Event18th Extended Semantic Web Conference, ESWC 2021 - Virtual, Online
Duration: 6 Jun 202110 Jun 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12739 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th Extended Semantic Web Conference, ESWC 2021
CityVirtual, Online
Period6/06/2110/06/21

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