On the Use of Parsing for Named Entity Recognition
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 essent...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/3/1090 |
| _version_ | 1827598023475068928 |
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| author | Miguel A. Alonso Carlos Gómez-Rodríguez Jesús Vilares |
| author_facet | Miguel A. Alonso Carlos Gómez-Rodríguez Jesús Vilares |
| author_sort | Miguel A. Alonso |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T03:42:39Z |
| format | Article |
| id | doaj.art-a394b4a680cd4b87801f6d6c1ff3af10 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T03:42:39Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a394b4a680cd4b87801f6d6c1ff3af102023-12-03T14:38:00ZengMDPI AGApplied Sciences2076-34172021-01-01113109010.3390/app11031090On the Use of Parsing for Named Entity RecognitionMiguel A. Alonso0Carlos Gómez-Rodríguez1Jesús Vilares2Grupo LyS, Departamento de Ciencias da Computación e Tecnoloxías da Información, Universidade da Coruña and CITIC, 15071 A Coruña, SpainGrupo LyS, Departamento de Ciencias da Computación e Tecnoloxías da Información, Universidade da Coruña and CITIC, 15071 A Coruña, SpainGrupo LyS, Departamento de Ciencias da Computación e Tecnoloxías da Información, Universidade da Coruña and CITIC, 15071 A Coruña, SpainParsing 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.https://www.mdpi.com/2076-3417/11/3/1090natural language processingnamed entity recognitionparsingsequence labeling |
| spellingShingle | Miguel A. Alonso Carlos Gómez-Rodríguez Jesús Vilares On the Use of Parsing for Named Entity Recognition Applied Sciences natural language processing named entity recognition parsing sequence labeling |
| title | On the Use of Parsing for Named Entity Recognition |
| title_full | On the Use of Parsing for Named Entity Recognition |
| title_fullStr | On the Use of Parsing for Named Entity Recognition |
| title_full_unstemmed | On the Use of Parsing for Named Entity Recognition |
| title_short | On the Use of Parsing for Named Entity Recognition |
| title_sort | on the use of parsing for named entity recognition |
| topic | natural language processing named entity recognition parsing sequence labeling |
| url | https://www.mdpi.com/2076-3417/11/3/1090 |
| work_keys_str_mv | AT miguelaalonso ontheuseofparsingfornamedentityrecognition AT carlosgomezrodriguez ontheuseofparsingfornamedentityrecognition AT jesusvilares ontheuseofparsingfornamedentityrecognition |