Eckart de Castilho, Richard ; Ide, Nancy ; Kim, Jin-Dong ; Klie, Jan-Christoph ; Suderman, Keith (2019)
Towards cross-platform interoperability for machine-assisted annotation.
In: Genomics & Informatics, 17 (2)
doi: 10.5808/GI.2019.17.2.e19
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. The study is conducted in the context of a specific annotation methodology, namely machine-assisted interactive annotation (also known as human-in-the-loop annotation). This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text, and each of which performs a different role in the process.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Eckart de Castilho, Richard ; Ide, Nancy ; Kim, Jin-Dong ; Klie, Jan-Christoph ; Suderman, Keith |
| Art des Eintrags: | Bibliographie |
| Titel: | Towards cross-platform interoperability for machine-assisted annotation |
| Sprache: | Englisch |
| Publikationsjahr: | Juni 2019 |
| Verlag: | Genomics Inform |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Genomics & Informatics |
| Jahrgang/Volume einer Zeitschrift: | 17 |
| (Heft-)Nummer: | 2 |
| DOI: | 10.5808/GI.2019.17.2.e19 |
| URL / URN: | https://genominfo.org/journal/view.php?number=560 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. The study is conducted in the context of a specific annotation methodology, namely machine-assisted interactive annotation (also known as human-in-the-loop annotation). This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text, and each of which performs a different role in the process. |
| Freie Schlagworte: | UKP_p_INCEpTION |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 01 Jul 2019 09:06 |
| Letzte Änderung: | 03 Jul 2019 13:42 |
| PPN: | |
| Projekte: | UKP_p_INCEpTION |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
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