Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction

Abstract. Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and thematically relat...

Descripción completa

Detalles Bibliográficos
Autores: Berend, Gábor, Farkas, Richárd
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:México
Institución:Instituto Politécnico Nacional
Repositorio:Repositorio Digital del IPN
OAI Identifier:oai:www.repositoriodigital.ipn.mx:123456789/16615
Acceso en línea:http://www.repositoriodigital.ipn.mx/handle/123456789/16615
Access Level:acceso abierto
Palabra clave:Keywords. Multi-document keyphrase extraction, knowledge management, information retrieval.
Descripción
Sumario:Abstract. Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and thematically related subsets of some corpora if the automatically determined sets of keyphrases for the individual documents of an entire corpus are identified first. The sets of keyphrases assigned by our proposed method for the workshops present in the ACL Anthology Corpus over a 6-year period were considered better in more than 60% of the test cases compared to our baseline system when evaluated against an aggregation of different human judgements.

Similares en LA Referencia