Search Results for author: Anna Breit

Found 5 papers, 4 papers with code

WiC-TSV-de: German Word-in-Context Target-Sense-Verification Dataset and Cross-Lingual Transfer Analysis

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.

Cross-Lingual Transfer

Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG

1 code implementation27 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).

Interlinking Iconclass Data with Concepts of Art \& Architecture Thesaurus

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.

WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context

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)

Binary Classification Entity Linking +1

OpenBioLink: A benchmarking framework for large-scale biomedical link prediction

1 code implementation10 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.

Benchmarking BIG-bench Machine Learning +1

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