The successful application of natural language processing for information retrieval
- Autores
- Ferrández, Antonio; Rojas, Yenory; Peral, Jesús
- Año de publicación
- 2007
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this paper, a novel model for monolingual Information Retrieval in English and Spanish language is proposed. This model uses Natural Language Processing techniques (a POStagger, a Partial Parser, and an Anaphora Resolver) in order to improve the precision of traditional IR systems, by means of indexing the "entities" and the "relations" between these entities in the documents. This model is evaluated on both the Spanish and English CLEF corpora. For the English queries, there is a maximum increase of 35.11% in the average precision. For the Spanish queries, the maximum increase is 37.18%.
Facultad de Informática - Materia
-
Ciencias Informáticas
Almacenamiento y Recuperación de la Información
Procesamiento de Lenguaje Natural - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc/3.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9532
Ver los metadatos del registro completo
| id |
SEDICI_d83338ba03025819eefe08c7207d1051 |
|---|---|
| oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/9532 |
| network_acronym_str |
SEDICI |
| repository_id_str |
1329 |
| network_name_str |
SEDICI (UNLP) |
| spelling |
The successful application of natural language processing for information retrievalFerrández, AntonioRojas, YenoryPeral, JesúsCiencias InformáticasAlmacenamiento y Recuperación de la InformaciónProcesamiento de Lenguaje NaturalIn this paper, a novel model for monolingual Information Retrieval in English and Spanish language is proposed. This model uses Natural Language Processing techniques (a POStagger, a Partial Parser, and an Anaphora Resolver) in order to improve the precision of traditional IR systems, by means of indexing the "entities" and the "relations" between these entities in the documents. This model is evaluated on both the Spanish and English CLEF corpora. For the English queries, there is a maximum increase of 35.11% in the average precision. For the Spanish queries, the maximum increase is 37.18%.Facultad de Informática2007-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf79-85http://sedici.unlp.edu.ar/handle/10915/9532enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-13.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:32:17Zoai:sedici.unlp.edu.ar:10915/9532Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:32:17.858SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
The successful application of natural language processing for information retrieval |
| title |
The successful application of natural language processing for information retrieval |
| spellingShingle |
The successful application of natural language processing for information retrieval Ferrández, Antonio Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento de Lenguaje Natural |
| title_short |
The successful application of natural language processing for information retrieval |
| title_full |
The successful application of natural language processing for information retrieval |
| title_fullStr |
The successful application of natural language processing for information retrieval |
| title_full_unstemmed |
The successful application of natural language processing for information retrieval |
| title_sort |
The successful application of natural language processing for information retrieval |
| dc.creator.none.fl_str_mv |
Ferrández, Antonio Rojas, Yenory Peral, Jesús |
| author |
Ferrández, Antonio |
| author_facet |
Ferrández, Antonio Rojas, Yenory Peral, Jesús |
| author_role |
author |
| author2 |
Rojas, Yenory Peral, Jesús |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento de Lenguaje Natural |
| topic |
Ciencias Informáticas Almacenamiento y Recuperación de la Información Procesamiento de Lenguaje Natural |
| dc.description.none.fl_txt_mv |
In this paper, a novel model for monolingual Information Retrieval in English and Spanish language is proposed. This model uses Natural Language Processing techniques (a POStagger, a Partial Parser, and an Anaphora Resolver) in order to improve the precision of traditional IR systems, by means of indexing the "entities" and the "relations" between these entities in the documents. This model is evaluated on both the Spanish and English CLEF corpora. For the English queries, there is a maximum increase of 35.11% in the average precision. For the Spanish queries, the maximum increase is 37.18%. Facultad de Informática |
| description |
In this paper, a novel model for monolingual Information Retrieval in English and Spanish language is proposed. This model uses Natural Language Processing techniques (a POStagger, a Partial Parser, and an Anaphora Resolver) in order to improve the precision of traditional IR systems, by means of indexing the "entities" and the "relations" between these entities in the documents. This model is evaluated on both the Spanish and English CLEF corpora. For the English queries, there is a maximum increase of 35.11% in the average precision. For the Spanish queries, the maximum increase is 37.18%. |
| publishDate |
2007 |
| dc.date.none.fl_str_mv |
2007-04 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/9532 |
| url |
http://sedici.unlp.edu.ar/handle/10915/9532 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Mar07-13.pdf info:eu-repo/semantics/altIdentifier/issn/1666-6038 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
| dc.format.none.fl_str_mv |
application/pdf 79-85 |
| dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
| reponame_str |
SEDICI (UNLP) |
| collection |
SEDICI (UNLP) |
| instname_str |
Universidad Nacional de La Plata |
| instacron_str |
UNLP |
| institution |
UNLP |
| repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
| repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
| _version_ |
1846782742850699264 |
| score |
12.982451 |