no code implementations • LREC 2022 • Anna Breit, Artem Revenko, Narayani Blaschke
Target Sense Verification (TSV) describes the binary disambiguation task of deciding whether the intended sense of a target word in a context corresponds to a given target sense.
1 code implementation • 27 Mar 2023 • Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, Sören Auer
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged that focuses on combining machine learning (ML) components with techniques developed by the Semantic Web (SW) community - Semantic Web Machine Learning (SWeML for short).
1 code implementation • LREC 2020 • Anna Breit
Iconclass, being a a well established classification system, could benefit from interconnections with other ontologies in order to semantically enrich its content.
1 code implementation • EACL 2021 • Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados
More specifically, we introduce a framework for Target Sense Verification of Words in Context which grounds its uniqueness in the formulation as a binary classification task thus being independent of external sense inventories, and the coverage of various domains.
Ranked #1 on
Entity Linking
on WiC-TSV
(Task 3 Accuracy: all metric)
1 code implementation • 10 Dec 2019 • Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald
SUMMARY: Recently, novel machine-learning algorithms have shown potential for predicting undiscovered links in biomedical knowledge networks.