Arretium or Arezzo? A Neural Approach to the Identification of Place Names in Historical Texts

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the application of a neural architecture to the identification of place names in English historical texts. We test the impact of different word embeddings and we compare the results to the ones obtained with the Stanford NER module of CoreNLP before and after the retraining using a novel corpus of manually annotated historical travel writings.
Original languageEnglish
Title of host publicationProceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)
Pages360-365
Number of pages6
Publication statusPublished - 2018
EventFifth Italian Conference on Computational Linguistics (CLiC-it 2018) - Torino, Italy
Duration: 10 Dec 201812 Dec 2018

Conference

ConferenceFifth Italian Conference on Computational Linguistics (CLiC-it 2018)
CityTorino, Italy
Period10/12/1812/12/18

Keywords

  • named entity recognition, annotation, information extraction, historical texts, travel writings

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