Daniel Van Strien

Also published as: Daniel van Strien


2024

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Proceedings of the First Workshop on Advancing Natural Language Processing for Wikipedia
Lucie Lucie-Aimée | Angela Fan | Tajuddeen Gwadabe | Isaac Johnson | Fabio Petroni | Daniel van Strien
Proceedings of the First Workshop on Advancing Natural Language Processing for Wikipedia

2022

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Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
Francesco De Toni | Christopher Akiki | Javier De La Rosa | Clémentine Fourrier | Enrique Manjavacas | Stefan Schweter | Daniel Van Strien
Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models

In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods. Using a historical newspaper corpus in 3 languages as test-bed, we use prompts to extract possible named entities. Our results show that a naive approach for prompt-based zero-shot multilingual Named Entity Recognition is error-prone, but highlights the potential of such an approach for historical languages lacking labeled datasets. Moreover, we also find that T0-like models can be probed to predict the publication date and language of a document, which could be very relevant for the study of historical texts.