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|Abstract=The entity type information in Knowledge Graphs (KGs) of different languages plays an important role in a wide range of Natu- ral 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 success- fully evaluated on multilingual datasets extracted from different language chapters in DBpedia namely German, French, Spanish, and Dutch. | |Abstract=The entity type information in Knowledge Graphs (KGs) of different languages plays an important role in a wide range of Natu- ral 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 success- fully evaluated on multilingual datasets extracted from different language chapters in DBpedia namely German, French, Spanish, and Dutch. | ||
| + | |Download=It’s all in the Name_ Entity Typing using Multilingual Language Models_BISWAS_ESWC2022.pdf | ||
|Link=https://2022.eswc-conferences.org/wp-content/uploads/2022/05/pd_Biswas_et_al_paper_233.pdf | |Link=https://2022.eswc-conferences.org/wp-content/uploads/2022/05/pd_Biswas_et_al_paper_233.pdf | ||
|DOI Name=10.1007/978-3-031-11609-4_7 | |DOI Name=10.1007/978-3-031-11609-4_7 | ||
|Forschungsgruppe=Information Service Engineering | |Forschungsgruppe=Information Service Engineering | ||
}} | }} | ||
Aktuelle Version vom 31. Oktober 2022, 09:48 Uhr
It's all in the Name: Entity Typing using Multilingual Language Models
It's all in the Name: Entity Typing using Multilingual Language Models
Published: 2022
Buchtitel: The Semantic Web: ESWC 2022 Satellite Events: Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings
Ausgabe: 13384
Reihe: Lecture Notes in Computer Science
Seiten: 36–41
Verlag: Springer
Referierte Veröffentlichung
BibTeX
Kurzfassung
The entity type information in Knowledge Graphs (KGs) of different languages plays an important role in a wide range of Natu- ral 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 success- fully evaluated on multilingual datasets extracted from different language chapters in DBpedia namely German, French, Spanish, and Dutch.
Download: Media:It’s all in the Name_ Entity Typing using Multilingual Language Models_BISWAS_ESWC2022.pdf
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-031-11609-4_7
Information Service Engineering