HistNERo: Historical Named Entity Recognition for the Romanian Language

arXiv:2405.00155v1 Announce Type: new
Abstract: This work introduces HistNERo, the first Romanian corpus for Named Entity Recognition (NER) in historical newspapers. The dataset contains 323k tokens of text, covering more than half of the 19th century (i.e., 1817) until the late part of the 20th century (i.e., 1990). Eight native Romanian speakers annotated the dataset with five named entities. The samples belong to one of the following four historical regions of Romania, namely Bessarabia, Moldavia, Transylvania, and Wallachia. We employed …

abstract arxiv cs.cl dataset language ner newspapers part recognition text tokens type work