In this paper we present SPRING Online Services, a Web interface and RESTful APIs for our state-of-the-art AMR parsing and generation system, SPRING (Symmetric PaRsIng aNd Generation). The Web interface has been developed to be easily used by the Natural Language Processing community, as well as by the general public. It provides, among other things, a highly interactive visualization platform and a feedback mechanism to obtain user suggestions for further improvements of the system’s output. Moreover, our RESTful APIs enable easy integration of SPRING in downstream applications where AMR structures are needed. Finally, we make SPRING Online Services freely available at http://nlp.uniroma1.it/spring and, in addition, we release extra model checkpoints to be used with the original SPRING Python code.

SPRING Goes Online: End-to-End AMR Parsing and Generation / Blloshmi, Rexhina; Bevilacqua, Michele; Fabiano, Edoardo; Caruso, Valentina; Navigli, Roberto. - (2021), pp. 134-142. ((Intervento presentato al convegno The 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021 tenutosi a Punta Cana, Dominican Republic [10.18653/v1/2021.emnlp-demo.16].

SPRING Goes Online: End-to-End AMR Parsing and Generation

Blloshmi, Rexhina
Primo
;
Bevilacqua, Michele
Secondo
;
Navigli, Roberto
Ultimo
2021

Abstract

In this paper we present SPRING Online Services, a Web interface and RESTful APIs for our state-of-the-art AMR parsing and generation system, SPRING (Symmetric PaRsIng aNd Generation). The Web interface has been developed to be easily used by the Natural Language Processing community, as well as by the general public. It provides, among other things, a highly interactive visualization platform and a feedback mechanism to obtain user suggestions for further improvements of the system’s output. Moreover, our RESTful APIs enable easy integration of SPRING in downstream applications where AMR structures are needed. Finally, we make SPRING Online Services freely available at http://nlp.uniroma1.it/spring and, in addition, we release extra model checkpoints to be used with the original SPRING Python code.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/1604168
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