GRaSP: A Multilayered Annotation Scheme for Perspectives

C.M. van Son, T. Caselli, A.S. Fokkens, E. Maks, R. Morante Vallejo, L.M. Aroyo, P.T.J.M. Vossen

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper presents a framework and methodology for the annotation of perspectives in text. In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives. We propose an annotation scheme that integrates these different phenomena. We use a multilayered annotation approach, splitting the annotation of different aspects of perspectives into small subsequent subtasks in order to reduce the complexity of the task and to better monitor interactions between layers. Currently, we have included four layers of perspective annotation: events, attribution, factuality and opinion. The annotations are integrated in a formal model called GRaSP, which provides the means to represent instances (e.g. events, entities) and propositions in the (real or assumed) world in relation to their mentions in text. Then, the relation between the source and target of a perspective is characterized by means of perspective annotations. This enables us to place alternative perspectives on the same entity, event or proposition next to each other.
LanguageEnglish
Title of host publicationProceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016
Place of PublicationParis, France
PublisherEuropean Language Resources Association (ELRA)
Pages1177-1184
ISBN (Print)9782951740891
Publication statusPublished - 2016
EventTenth International Conference on Language Resources and Evaluation (LREC 2016) - Paris, France
Duration: 23 May 201628 May 2016

Conference

ConferenceTenth International Conference on Language Resources and Evaluation (LREC 2016)
Period23/05/1628/05/16

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Linguistics

Cite this

van Son, C. M., Caselli, T., Fokkens, A. S., Maks, E., Morante Vallejo, R., Aroyo, L. M., & Vossen, P. T. J. M. (2016). GRaSP: A Multilayered Annotation Scheme for Perspectives. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016 (pp. 1177-1184). Paris, France: European Language Resources Association (ELRA).
van Son, C.M. ; Caselli, T. ; Fokkens, A.S. ; Maks, E. ; Morante Vallejo, R. ; Aroyo, L.M. ; Vossen, P.T.J.M. / GRaSP: A Multilayered Annotation Scheme for Perspectives. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016. Paris, France : European Language Resources Association (ELRA), 2016. pp. 1177-1184
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abstract = "This paper presents a framework and methodology for the annotation of perspectives in text. In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives. We propose an annotation scheme that integrates these different phenomena. We use a multilayered annotation approach, splitting the annotation of different aspects of perspectives into small subsequent subtasks in order to reduce the complexity of the task and to better monitor interactions between layers. Currently, we have included four layers of perspective annotation: events, attribution, factuality and opinion. The annotations are integrated in a formal model called GRaSP, which provides the means to represent instances (e.g. events, entities) and propositions in the (real or assumed) world in relation to their mentions in text. Then, the relation between the source and target of a perspective is characterized by means of perspective annotations. This enables us to place alternative perspectives on the same entity, event or proposition next to each other.",
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year = "2016",
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van Son, CM, Caselli, T, Fokkens, AS, Maks, E, Morante Vallejo, R, Aroyo, LM & Vossen, PTJM 2016, GRaSP: A Multilayered Annotation Scheme for Perspectives. in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016. European Language Resources Association (ELRA), Paris, France, pp. 1177-1184, Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23/05/16.

GRaSP: A Multilayered Annotation Scheme for Perspectives. / van Son, C.M.; Caselli, T.; Fokkens, A.S.; Maks, E.; Morante Vallejo, R.; Aroyo, L.M.; Vossen, P.T.J.M.

Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016. Paris, France : European Language Resources Association (ELRA), 2016. p. 1177-1184.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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AB - This paper presents a framework and methodology for the annotation of perspectives in text. In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives. We propose an annotation scheme that integrates these different phenomena. We use a multilayered annotation approach, splitting the annotation of different aspects of perspectives into small subsequent subtasks in order to reduce the complexity of the task and to better monitor interactions between layers. Currently, we have included four layers of perspective annotation: events, attribution, factuality and opinion. The annotations are integrated in a formal model called GRaSP, which provides the means to represent instances (e.g. events, entities) and propositions in the (real or assumed) world in relation to their mentions in text. Then, the relation between the source and target of a perspective is characterized by means of perspective annotations. This enables us to place alternative perspectives on the same entity, event or proposition next to each other.

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van Son CM, Caselli T, Fokkens AS, Maks E, Morante Vallejo R, Aroyo LM et al. GRaSP: A Multilayered Annotation Scheme for Perspectives. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016. Paris, France: European Language Resources Association (ELRA). 2016. p. 1177-1184