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.

Arretium or Arezzo? A Neural Approach to the Identification of Place Names in Historical Texts / Sprugnoli, Rachele. - (2018), pp. 360-365. (Intervento presentato al convegno Fifth Italian Conference on Computational Linguistics (CLiC-it 2018) tenutosi a Torino, Italy nel 10-12 December 2018).

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

Rachele Sprugnoli
2018-01-01

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.
2018
978-88-31978-41-5
Arretium or Arezzo? A Neural Approach to the Identification of Place Names in Historical Texts / Sprugnoli, Rachele. - (2018), pp. 360-365. (Intervento presentato al convegno Fifth Italian Conference on Computational Linguistics (CLiC-it 2018) tenutosi a Torino, Italy nel 10-12 December 2018).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2910291
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