Semantic Role Labeling of English Tweets



Título del documento: Semantic Role Labeling of English Tweets
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560360
ISSN: 1405-5546
Autores: 1
2
Instituciones: 1National Institute of Technology, Agartala. India
2Indian Institute Of Information Technology, Sri City, Uttar Pradesh. India
Año:
Periodo: Jul-Sep
Volumen: 22
Número: 3
Paginación: 739-746
País: México
Idioma: Inglés
Tipo de documento: Artículo
Resumen en inglés Semantic role labeling (SRL) is a task of defining the conceptual role to the arguments of predicate in a sentence. This is an important task for a wide range of tweet related applications associated with semantic information extraction. SRL is a challenging task due to the difficulties regarding general semantic roles for all predicates. It is more challenging for Social Media Text (SMT) where the nature of text is more casual. This paper presents an automatic SRL system for English tweets based on Sequential Minimal Optimization (SMO) algorithm. Proposed system is evaluated through experiments and reports comparable performance with the prior state-of-the art SRL system.
Disciplinas: Ciencias de la computación
Palabras clave: Inteligencia artificial,
Texto,
Medios sociales,
Twitter,
Etiquetado,
Semántica,
Inglés
Keyword: Artificial intelligence,
Texts,
Social media,
Twitter,
Labeling,
Semantics,
English
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