@inproceedings{185b6408f03240a3bf667e4a5dfe61c5,
title = "It{\textquoteright}s All in the Name: Entity Typing Using Multilingual Language Models",
abstract = "The entity type information in Knowledge Graphs (KGs) of different languages plays an important role in a wide range of Natural Language Processing applications. However, the entity types in KGs are often incomplete. Multilingual entity typing is a non-trivial task if enough information is not available for the entities in a KG. In this work, multilingual neural language models are exploited to predict the type of an entity from only the name of the entity. The model has been successfully evaluated on multilingual datasets extracted from different language chapters in DBpedia namely German, French, Spanish, and Dutch.",
keywords = "Classification, Entity type prediction, Knowledge graph completion, Multilingual language models",
author = "Russa Biswas and Yiyi Chen and Heiko Paulheim and Harald Sack and Mehwish Alam",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th European Semantic Web Conference, ESWC 2022 ; Conference date: 29-05-2022 Through 02-06-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1007/978-3-031-11609-4\_7",
language = "English",
isbn = "9783031116087",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "36--41",
editor = "Paul Groth and Anisa Rula and Jodi Schneider and Ilaria Tiddi and Elena Simperl and Panos Alexopoulos and Rinke Hoekstra and Mehwish Alam and Anastasia Dimou and Minna Tamper and Minna Tamper",
booktitle = "The Semantic Web",
}