A methodology for the semiautomatic annotation of EPEC-RolSem, a basque corpus labeled at predicative level following the PropBank-Verb Net model

In this article we describe the methodology developed for the semiautomatic annotation of EPEC-RolSem, a Basque corpus labeled at predicate level following the PropBank-VerbNet model. The methodology presented is the product of detailed theoretical study of the semantic nature of verbs in Basque and...

Descripción completa

Detalles Bibliográficos
Autores: Aldezabal Roteta, Izaskun, Aranzabe Urruzola, María Jesús, Díaz de Ilarraza Sánchez, Arantza, Estarrona Ibarloza, Ainara
Tipo de recurso: informe técnico
Fecha de publicación:2013
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/9986
Acceso en línea:http://hdl.handle.net/10810/9986
Access Level:acceso abierto
Palabra clave:predicate labeling
verb sense
valency
semantic roles
evaluation
PropBank-VerbNet
predikatu-mailako etiketatzea
aditz-adiera
balentzia
rol semantikoak
ebaluazioa
Descripción
Sumario:In this article we describe the methodology developed for the semiautomatic annotation of EPEC-RolSem, a Basque corpus labeled at predicate level following the PropBank-VerbNet model. The methodology presented is the product of detailed theoretical study of the semantic nature of verbs in Basque and of their similarities and differences with verbs in other languages. As part of the proposed methodology, we are creating a Basque lexicon on the PropBank-VerbNet model that we have named the Basque Verb Index (BVI). Our work thus dovetails the general trend toward building lexicons from tagged corpora that is clear in work conducted for other languages. EPEC-RolSem and BVI are two important resources for the computational semantic processing of Basque; as far as the authors are aware, they are also the first resources of their kind developed for Basque. In addition, each entry in BVI is linked to the corresponding verb-entry in well-known resources like PropBank, VerbNet, WordNet, Levin’s Classification and FrameNet. We have also implemented several automatic processes to aid in creating and annotating the BVI, including processes designed to facilitate the task of manual annotation.