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.

Domain-specific Named Entity Disambiguation in Historical Memoirs

Marco Rovera;Annamaria Goy
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.
Fourth Italian Conference on Computational Linguistics (CLiC-it 2017)
Roma
11-13 dicembre 2017
Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017)
CEUR
2006
1
5
http://ceur-ws.org/Vol-2006/paper020.pdf
Named Entity Disambiguation, Digital Humanities, Information Extraction
Marco, Rovera; Federico, Nanni; Simone Paolo Ponzetto, ; Annamaria, Goy
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1657543
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