Naslov
UNER: Universal Named-Entity Recognition Framework

Autori
Alves, Diego ; Kuculo, Tin ; Amaral, Gabriel ; Thakkar, Gaurish ; Tadić, Marko

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, kratko priopćenje, znanstveni

Izvornik
Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics / Demidova, Elena ; Hakimov, Sherzod ; Winters, Jane ; Tadić, Marko - Heraklion, 2020, 72-79

Skup
17th Extended Semantic Web Conference (ESWC 2020)

Mjesto i datum
Heraklion, Grčka, 02.06.2020. - 04.06.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
named-entity ; universality ; low-resourced languages

Sažetak
WeintroducetheUniversalNamed- EntityRecognition(UNER) framework, a 4-level classification hierarchy, and the methodology that is being adopted to create the first multilingual UNER corpus: the SETimes parallel corpus annotated for named-entities. First, the English SETimes corpus will be annotated using existing tools and knowledge bases. After evaluating the resulting annotations through crowdsourcing campaigns, they will be propagated automatically to other languages within the SE- Times corpora. Finally, as an extrinsic evaluation, the UNER multilin- gual dataset will be used to train and test available NER tools. As part of future research directions, we aim to increase the number of languages in the UNER corpus and to investigate possible ways of integrating UNER with available knowledge graphs to improve named- entity recognition.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija

Napomena
Uslijed pandemije krunastoga virusa radionica je
održana online 2020-06-03, a zbornik je objavljen
istoga dana.

POVEZANOST RADA