In this paper we present AMR2FRED, a software application to translate Abstract Meaning Representation (AMR) to RDF using the knowledge patterns applied by the FRED machine reading method. AMR and FRED representations are both graph-based, and event-centric (neo-Davidsonian), but they differ in several logical, conceptual, and design assumptions. The former has become a de facto standard for the Natural Language Processing community, whereas FRED adds semantics to the extracted information using several ontologies and best practices from the Semantic Web. With the increasing availability of manually AMR-annotated datasets, this tool provides straightforward means to adapt annotated datasets for AMR according to the design patterns used by FRED, and to evaluate machine reading tools with gold-standard data. AMR2FRED takes as input an AMR representation of a text, and prints a FRED-like RDF output. The system is open source and can be freely downloaded from https://github.com/infovillasimius/amr2Fred.

AMR2FRED, A Tool for Translating Abstract Meaning Representation to Motif-Based Linguistic Knowledge Graph / Meloni A, Reforgiato Recupero D, Gangemi A. - ELETTRONICO. - (2017), pp. 43-47. (Intervento presentato al convegno ESWC 2017 tenutosi a Portroz, Slovenia nel May 28-June 1, 2017) [10.1007/978-3-319-70407-4_9].

AMR2FRED, A Tool for Translating Abstract Meaning Representation to Motif-Based Linguistic Knowledge Graph

GANGEMI, ALDO
2017

Abstract

In this paper we present AMR2FRED, a software application to translate Abstract Meaning Representation (AMR) to RDF using the knowledge patterns applied by the FRED machine reading method. AMR and FRED representations are both graph-based, and event-centric (neo-Davidsonian), but they differ in several logical, conceptual, and design assumptions. The former has become a de facto standard for the Natural Language Processing community, whereas FRED adds semantics to the extracted information using several ontologies and best practices from the Semantic Web. With the increasing availability of manually AMR-annotated datasets, this tool provides straightforward means to adapt annotated datasets for AMR according to the design patterns used by FRED, and to evaluate machine reading tools with gold-standard data. AMR2FRED takes as input an AMR representation of a text, and prints a FRED-like RDF output. The system is open source and can be freely downloaded from https://github.com/infovillasimius/amr2Fred.
2017
Proceedings of the Extended Semantic Web Conference (ESWC2017)
43
47
AMR2FRED, A Tool for Translating Abstract Meaning Representation to Motif-Based Linguistic Knowledge Graph / Meloni A, Reforgiato Recupero D, Gangemi A. - ELETTRONICO. - (2017), pp. 43-47. (Intervento presentato al convegno ESWC 2017 tenutosi a Portroz, Slovenia nel May 28-June 1, 2017) [10.1007/978-3-319-70407-4_9].
Meloni A, Reforgiato Recupero D, Gangemi A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/620647
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