Cargando…
Semantic Role Labeling
This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, Ver...
Autores principales: | , , |
---|---|
Lenguaje: | eng |
Publicado: |
Morgan & Claypool Publishers
2011
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1486492 |
_version_ | 1780926141535617024 |
---|---|
author | Palmer, Martha Gildea, Daniel Xue, Nianwen |
author_facet | Palmer, Martha Gildea, Daniel Xue, Nianwen |
author_sort | Palmer, Martha |
collection | CERN |
description | This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applyin |
id | cern-1486492 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2011 |
publisher | Morgan & Claypool Publishers |
record_format | invenio |
spelling | cern-14864922021-04-22T00:17:26Zhttp://cds.cern.ch/record/1486492engPalmer, MarthaGildea, DanielXue, NianwenSemantic Role LabelingComputing and ComputersThis book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applyinMorgan & Claypool Publishersoai:cds.cern.ch:14864922011 |
spellingShingle | Computing and Computers Palmer, Martha Gildea, Daniel Xue, Nianwen Semantic Role Labeling |
title | Semantic Role Labeling |
title_full | Semantic Role Labeling |
title_fullStr | Semantic Role Labeling |
title_full_unstemmed | Semantic Role Labeling |
title_short | Semantic Role Labeling |
title_sort | semantic role labeling |
topic | Computing and Computers |
url | http://cds.cern.ch/record/1486492 |
work_keys_str_mv | AT palmermartha semanticrolelabeling AT gildeadaniel semanticrolelabeling AT xuenianwen semanticrolelabeling |