GAF: A Grounded Annotation Framework for Events

Antske Fokkens; Marieke Van Erp; Piek Vossen; Sara Tonelli; Willem Robert Van Hage; Luciano Serafini; Rachele Sprugnoli; Jesper Hoeksema

GAF: A Grounded Annotation Framework for Events

Antske Fokkens, Marieke Van Erp, Piek Vossen, Sara Tonelli, Willem Robert Van Hage, Luciano Serafini, Rachele Sprugnoli, Jesper Hoeksema

Università Cattolica del Sacro Cuore

Risultato della ricerca: Contributo in libro › Contributo a convegno

Abstract

This paper introduces GAF, a grounded annotation framework to represent events in a formal context that can represent information from both textual and extra-textual sources. GAF makes a clear distinction between mentions of events in text and their formal representation as instances in a semantic layer. Instances are represented by RDF compliant URIs that are shared across different research disciplines. This allows us to complete textual information with external sources and facilitates reasoning. The semantic layer can integrate any linguistic information and is compatible with previous event representations in NLP. Through a use case on earthquakes in Southeast Asia, we demonstrate GAF flexibility and ability to reason over events with the aid of extra-linguistic resources.

Lingua originale	English
Titolo della pubblicazione ospite	Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Pagine	11-20
Numero di pagine	10
Stato di pubblicazione	Pubblicato - 2013
Evento	1st workshop on Events: Definition, Detection, Coreference, and Representation - Atlanta, Georgia Durata: 1 gen 2013 → …

Workshop

Workshop	1st workshop on Events: Definition, Detection, Coreference, and Representation
Città	Atlanta, Georgia
Periodo	1/1/13 → …

Keywords

event annotation, semantic web, rdf, semantics

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Fokkens, A., Van Erp, M., Vossen, P., Tonelli, S., Van Hage, W. R., Serafini, L., Sprugnoli, R., & Hoeksema, J. (2013). GAF: A Grounded Annotation Framework for Events. In Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pagg. 11-20)

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title = "GAF: A Grounded Annotation Framework for Events",

abstract = "This paper introduces GAF, a grounded annotation framework to represent events in a formal context that can represent information from both textual and extra-textual sources. GAF makes a clear distinction between mentions of events in text and their formal representation as instances in a semantic layer. Instances are represented by RDF compliant URIs that are shared across different research disciplines. This allows us to complete textual information with external sources and facilitates reasoning. The semantic layer can integrate any linguistic information and is compatible with previous event representations in NLP. Through a use case on earthquakes in Southeast Asia, we demonstrate GAF flexibility and ability to reason over events with the aid of extra-linguistic resources.",

keywords = "event annotation, semantic web, rdf, semantics, event annotation, semantic web, rdf, semantics",

author = "Antske Fokkens and {Van Erp}, Marieke and Piek Vossen and Sara Tonelli and {Van Hage}, {Willem Robert} and Luciano Serafini and Rachele Sprugnoli and Jesper Hoeksema",

year = "2013",

language = "English",

isbn = "9781937284473",

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booktitle = "Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",

note = "1st workshop on Events: Definition, Detection, Coreference, and Representation ; Conference date: 01-01-2013",

}

Fokkens, A, Van Erp, M, Vossen, P, Tonelli, S, Van Hage, WR, Serafini, L, Sprugnoli, R & Hoeksema, J 2013, GAF: A Grounded Annotation Framework for Events. in Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pagg. 11-20, 1st workshop on Events: Definition, Detection, Coreference, and Representation, Atlanta, Georgia, 1/1/13.

GAF: A Grounded Annotation Framework for Events. / Fokkens, Antske; Van Erp, Marieke; Vossen, Piek et al.
Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2013. pag. 11-20.

Risultato della ricerca: Contributo in libro › Contributo a convegno

TY - GEN

T1 - GAF: A Grounded Annotation Framework for Events

AU - Fokkens, Antske

AU - Van Erp, Marieke

AU - Vossen, Piek

AU - Tonelli, Sara

AU - Van Hage, Willem Robert

AU - Serafini, Luciano

AU - Sprugnoli, Rachele

AU - Hoeksema, Jesper

PY - 2013

Y1 - 2013

N2 - This paper introduces GAF, a grounded annotation framework to represent events in a formal context that can represent information from both textual and extra-textual sources. GAF makes a clear distinction between mentions of events in text and their formal representation as instances in a semantic layer. Instances are represented by RDF compliant URIs that are shared across different research disciplines. This allows us to complete textual information with external sources and facilitates reasoning. The semantic layer can integrate any linguistic information and is compatible with previous event representations in NLP. Through a use case on earthquakes in Southeast Asia, we demonstrate GAF flexibility and ability to reason over events with the aid of extra-linguistic resources.

AB - This paper introduces GAF, a grounded annotation framework to represent events in a formal context that can represent information from both textual and extra-textual sources. GAF makes a clear distinction between mentions of events in text and their formal representation as instances in a semantic layer. Instances are represented by RDF compliant URIs that are shared across different research disciplines. This allows us to complete textual information with external sources and facilitates reasoning. The semantic layer can integrate any linguistic information and is compatible with previous event representations in NLP. Through a use case on earthquakes in Southeast Asia, we demonstrate GAF flexibility and ability to reason over events with the aid of extra-linguistic resources.

KW - event annotation, semantic web, rdf, semantics

UR - http://hdl.handle.net/10807/133004

UR - http://aclweb.org/anthology//w/w13/w13-12.pdf#page=23

UR - https://aclweb.org/anthology/papers/w/w13/w13-1202/

M3 - Conference contribution

SN - 9781937284473

SP - 11

EP - 20

BT - Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

T2 - 1st workshop on Events: Definition, Detection, Coreference, and Representation

Y2 - 1 January 2013

ER -

GAF: A Grounded Annotation Framework for Events

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