Multilingual Event Extraction from Historical Newspaper Adverts

1 code implementation • 18 May 2023 • Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein

We find that: 1) even with scarce annotated data, it is possible to achieve surprisingly good results by formulating the problem as an extractive QA task and leveraging existing datasets and models for modern languages; and 2) cross-lingual low-resource learning for historical languages is highly challenging, and machine translation of the historical datasets to the considered target languages is, in practice, often the best-performing solution.

Event Extraction Machine Translation