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On the Use of Parsing for Named Entity Recognition

Grupo LyS, Departamento de Ciencias da Computación e Tecnoloxías da Información, Universidade da Coruña and CITIC, 15071 A Coruña, Spain
Author to whom correspondence should be addressed.
Academic Editor: Elisa Quintarelli
Appl. Sci. 2021, 11(3), 1090;
Received: 4 January 2021 / Revised: 20 January 2021 / Accepted: 21 January 2021 / Published: 25 January 2021
(This article belongs to the Special Issue Rich Linguistic Processing for Multilingual Text Mining)
Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities that appear in a text. NER is a challenging natural language processing task that is essential to extract knowledge from texts in multiple domains, ranging from financial to medical. It is intuitive that the structure of a text can be helpful to determine whether or not a certain portion of it is an entity and if so, to establish its concrete limits. However, parsing has been a relatively little-used technique in NER systems, since most of them have chosen to consider shallow approaches to deal with text. In this work, we study the characteristics of NER, a task that is far from being solved despite its long history; we analyze the latest advances in parsing that make its use advisable in NER settings; we review the different approaches to NER that make use of syntactic information; and we propose a new way of using parsing in NER based on casting parsing itself as a sequence labeling task. View Full-Text
Keywords: natural language processing; named entity recognition; parsing; sequence labeling natural language processing; named entity recognition; parsing; sequence labeling
MDPI and ACS Style

Alonso, M.A.; Gómez-Rodríguez, C.; Vilares, J. On the Use of Parsing for Named Entity Recognition. Appl. Sci. 2021, 11, 1090.

AMA Style

Alonso MA, Gómez-Rodríguez C, Vilares J. On the Use of Parsing for Named Entity Recognition. Applied Sciences. 2021; 11(3):1090.

Chicago/Turabian Style

Alonso, Miguel A., Carlos Gómez-Rodríguez, and Jesús Vilares. 2021. "On the Use of Parsing for Named Entity Recognition" Applied Sciences 11, no. 3: 1090.

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