4 papers · 1 filter
Term-Centric Hierarchy Induction from Heterogeneous Corpora
Elena Senger, Yuri Campbell, Jan-Peter Bergmann +2
Organizing knowledge from diverse text sources into interpretable hierarchies is crucial for tasks such as policy analysis, innovation monitoring, and exploratory domain mapping. E…
When Meanings Meet: Investigating the Emergence and Quality of Shared Concept Spaces during Multilingual Language Model Training
Felicia Körner, Max Müller-Eberstein, Anna Korhonen +1
Training Large Language Models (LLMs) with high multilingual coverage is becoming increasingly important -- especially when monolingual resources are scarce. Recent studies have fo…
KARRIEREWEGE: A Large Scale Career Path Prediction Dataset
Elena Senger, Yuri Campbell, Rob van der Goot +1
Accurate career path prediction can support many stakeholders, like job seekers, recruiters, HR, and project managers. However, publicly available data and tools for career path pr…
How to Encode Domain Information in Relation Classification
Elisa Bassignana, Viggo Unmack Gascou, Frida Nøhr Laustsen +4
Current language models require a lot of training data to obtain high performance. For Relation Classification (RC), many datasets are domain-specific, so combining datasets to obt…