MICE

A module for Named Entities Recognition and Classification

Montserrat Arévalo Rodríguez | Universitat de Barcelona, Spain

Montserrat Civit Torruella | Universitat de Barcelona, Spain

Maria Antònia Martí | Universitat de Barcelona, Spain

In the field of corpus linguistics, Named Entity treatment includes the recognition and classification of different types of discursive elements like proper names, date, time, etc. These discursive elements play an important role in different Natural Language Processing applications and techniques such as Information Retrieval, Information Extraction, translations memories, document routers, etc.

Keywords: Named Entity Recognition and Classification, corpus linguistics, Information Extraction, Information Retrieval, semantic classification

Published online: 29 April 2004
https://doi.org/10.1075/ijcl.9.1.03are

Cited by

Cited by 6 other publications

Ferrández, Óscar, Antonio Toral & Rafael Muñoz

2006. In Natural Language Processing and Information Systems [Lecture Notes in Computer Science, 3999], ► pp. 176 ff.

Kozareva, Z., O. Ferrández, A. Montoyo, R. Muñoz, A. Suárez & J. Gómez

2007. Combining data-driven systems for improving Named Entity Recognition. Data & Knowledge Engineering 61:3 ► pp. 449 ff.

Kozareva, Zornitsa, Oscar Ferrández, Andres Montoyo, Rafael Muñoz & Armando Suárez

2005. In Natural Language Processing and Information Systems [Lecture Notes in Computer Science, 3513], ► pp. 80 ff.

Ramírez-Cruz, Yunior & Aurora Pons-Porrata

2008. In MICAI 2008: Advances in Artificial Intelligence [Lecture Notes in Computer Science, 5317], ► pp. 144 ff.

Ruiz-Casado, Maria, Enrique Alfonseca & Pablo Castells

2007. Automatising the learning of lexical patterns: An application to the enrichment of WordNet by extracting semantic relationships from Wikipedia. Data & Knowledge Engineering 61:3 ► pp. 484 ff.

VILA, M., H. RODRÍGUEZ & M. A. MARTÍ

2015. Relational paraphrase acquisition from Wikipedia: The WRPA method and corpus. Natural Language Engineering 21:3 ► pp. 355 ff.

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