TY - GEN
T1 - Arretium or Arezzo? A Neural Approach to the Identification of Place Names in Historical Texts
AU - Sprugnoli, Rachele
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - named entity recognition, annotation, information extraction, historical texts, travel writings
KW - named entity recognition, annotation, information extraction, historical texts, travel writings
UR - http://hdl.handle.net/10807/133038
UR - http://ceur-ws.org/vol-2253/paper26.pdf
UR - http://ceur-ws.org/vol-2253/
U2 - 10.4000/books.aaccademia.3627
DO - 10.4000/books.aaccademia.3627
M3 - Conference contribution
SN - 978-88-31978-41-5
VL - 2253
T3 - CEUR WORKSHOP PROCEEDINGS
SP - 360
EP - 365
BT - Proceedings of the Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)
T2 - Fifth Italian Conference on Computational Linguistics (CLiC-it 2018)
Y2 - 10 December 2018 through 12 December 2018
ER -