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

Rexhina Blloshmi, Michele Bevilacqua, Edoardo Fabiano, Valentina Caruso, Roberto Navigli

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.
Anthology ID:
2021.emnlp-demo.16
Volume:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
November
Year:
2021
Address:
Online and Punta Cana, Dominican Republic
Editors:
Heike Adel, Shuming Shi
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
134–142
Language:
URL:
https://aclanthology.org/2021.emnlp-demo.16
DOI:
10.18653/v1/2021.emnlp-demo.16
Bibkey:
Cite (ACL):
Rexhina Blloshmi, Michele Bevilacqua, Edoardo Fabiano, Valentina Caruso, and Roberto Navigli. 2021. SPRING Goes Online: End-to-End AMR Parsing and Generation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 134–142, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
SPRING Goes Online: End-to-End AMR Parsing and Generation (Blloshmi et al., EMNLP 2021)
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PDF:
https://preview.aclanthology.org/improve-issue-templates/2021.emnlp-demo.16.pdf
Video:
 https://preview.aclanthology.org/improve-issue-templates/2021.emnlp-demo.16.mp4
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