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Computer Science > Computation and Language

arXiv:2204.05211 (cs)
[Submitted on 11 Apr 2022]

Title:Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0

Authors:Francesco De Toni, Christopher Akiki, Javier de la Rosa, Clémentine Fourrier, Enrique Manjavacas, Stefan Schweter, Daniel van Strien
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Abstract: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.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2204.05211 [cs.CL]
  (or arXiv:2204.05211v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2204.05211

Submission history

From: Francesco De Toni [view email]
[v1] Mon, 11 Apr 2022 15:56:13 UTC (6,674 KB)
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