SciNoBo : A Hierarchical Multi-Label Classifier of Scientific Publications

no code implementations • 2 Apr 2022 • Nikolaos Gialitsis, Sotiris Kotitsas, Haris Papageorgiou

Classifying scientific publications according to Field-of-Science (FoS) taxonomies is of crucial importance, allowing funders, publishers, scholars, companies and other stakeholders to organize scientific literature more effectively.

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels

1 code implementation • EMNLP 2020 • Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos

Furthermore, we show that Transformer-based approaches outperform the state-of-the-art in two of the datasets, and we propose a new state-of-the-art method which combines BERT with LWANs.

Multi-Label Classification MUlTI-LABEL-ClASSIFICATION +6

Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors

1 code implementation • WS 2019 • Sotiris Kotitsas, Dimitris Pappas, Ion Androutsopoulos, Ryan Mcdonald, Marianna Apidianaki

Many existing NE methods rely only on network structure, overlooking other information associated with the nodes, e. g., text describing the nodes.

Link Prediction Network Embedding