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https://doi.org/10.48550/arxiv...
Article . 2020
License: CC BY
Data sources: Datacite
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A Category Theory Approach to Interoperability

Authors: Del Gratta, Riccardo;

A Category Theory Approach to Interoperability

Abstract

In this article, we propose a Category Theory approach to (syntactic) interoperability between linguistic tools. The resulting category consists of textual documents, including any linguistic annotations, NLP tools that analyze texts and add additional linguistic information, and format converters. Format converters are necessary to make the tools both able to read and to produce different output formats, which is the key to interoperability. The idea behind this document is the parallelism between the concepts of composition and associativity in Category Theory with the NLP pipelines. We show how pipelines of linguistic tools can be modeled into the conceptual framework of Category Theory and we successfully apply this method to two real-life examples.

Comment: Paper submitted to Applied Category Theory 2020 and accepted for Virtual Poster Session

Keywords

FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

36 references, page 1 of 4

[1] G. R. Aitor Garcia-Pablos, Montse Cuadros. OpeNER demo: Open Polarity Enhanced Named Entity Recognition. pages 579-580, 2013.

[2] C. Antunes and M. Abel. Ontologies in category theory: A search for meaningful morphisms. In J. L. Carbonera and G. Guizzardi, editors, Proceedings of the XI Seminar on Ontology Research in Brazil and II Doctoral and Masters Consortium on Ontologies, São Paulo, Brazil, October 1st-3rd, 2018., volume 2228 of CEUR Workshop Proceedings, pages 152-160. CEUR-WS.org, 2018. URL http://ceur-ws.org/Vol-2228/paper10.p df.

[3] S. Awodey. Category Theory. Oxford University Press, Inc., New York, NY, USA, 2nd edition, 2010. ISBN 0199237182, 9780199237180.

[4] J. Baez and M. Stay. Physics, Topology, Logic and Computation: A Rosetta Stone. Lecture Notes in Physics, 813:95-172, 2011. URL http: //arxiv.org/abs/0903.0340.

[5] R. Del Gratta and D. Albanesi. OpeNER and PANACEA: Web Services for the CLARIN Research Infrastructure. In K. Simov and M. Eskevich, editors, Proceedings of CLARIN Annual Conference 2019, CAC 2019, Leipzig, Germany, 2019.

[6] R. Del Gratta , F. Boschetti, A. Del Grosso , F. Khan, and M. Monachini. Cooperative Philology on the Way to Web Services: The Case of the CoPhiWordNet Platform, pages 173-187. Springer International Publishing, Cham, 2016. ISBN 978-3-319-31468-6. doi: 978-3-319-31468-6_13. [OpenAIRE]

[7] F. Boschetti, R. Del Gratta , and A. Del Grosso . The role of digital scholarly editors in the design of components for cooperative philology, pages 249-253. 2017. ISBN 978-90-8890-484-4. URL https://www.sidestone.com/book s/advances-in-digital-scholarly-editing. ISBN 978-90-8890-483-7 (softcover) ISBN 978-90-8890-484-4 (hardcover) ISBN 978-90-8890-485-1 (PDF e-book). [OpenAIRE]

[8] W. Bosma, P. Vossen, A. Soroa, G. Rigau, M. Tesconi, A. Marchetti, M. Monachini, and C. Aliprandi. KAF: a generic semantic annotation format. In Proceedings of the GL2009 Workshop on Semantic Annotation, 2009. [OpenAIRE]

[9] T.-D. Bradley. What is Applied Category Theory? 2018.

[10] D. Broeder, D. van Uytvanck, M. Gavrilidou, T. Trippel, and M. Windhouwer. Standardizing a component metadata infrastructure. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1387-1390, Istanbul, Turkey, May 2012. European Language Resources Association (ELRA). URL http: //www.lrec-conf.org/proceedings/lrec2012/pdf/581_Paper.pdf.

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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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