Data di Pubblicazione:
2017
Abstract:
This paper presents the results of the extraction of named entities from a collection of historical memoirs about the italian Resistance during the World War II. The methodology followed for the extraction and disambiguation task will be discussed, as well as its evaluation. For the semantic annotations of the dataset, we have developed a pipeline based on established practices for extracting and disambiguating
Named Entities. This has been necessary, considering the poor performances of out-of-the-box Named Entity Recognition and Disambiguation (NERD) tools tested in the initial phase of this work.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Named Entity Disambiguation, Digital Humanities, Information Extraction
Elenco autori:
Marco, Rovera; Federico, Nanni; Simone Paolo Ponzetto, ; Annamaria, Goy
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017)
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