Klie, Jan-Christoph ; Bugert, Michael ; Boullosa, Beto ; Eckart de Castilho, Richard ; Gurevych, Iryna (2018)
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation.
The 27th International Conference on Computational Linguistics (COLING 2018). Santa Fe, USA (20.08.2018-26.08.2018)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e.g., concept linking, fact linking, knowledge base population, semantic frame annotation). These tasks are very time consuming and demanding for annotators, especially when knowledge bases are used. We address these issues by developing an annotation platform that incorporates machine learning capabilities which actively assist and guide annotators. The platform is both generic and modular. It targets a range of research domains in need of semantic annotation, such as digital humanities, bioinformatics, or linguistics. INCEpTION is publicly available as open-source software.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Klie, Jan-Christoph ; Bugert, Michael ; Boullosa, Beto ; Eckart de Castilho, Richard ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation |
| Sprache: | Englisch |
| Publikationsjahr: | 23 Juni 2018 |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations |
| Veranstaltungstitel: | The 27th International Conference on Computational Linguistics (COLING 2018) |
| Veranstaltungsort: | Santa Fe, USA |
| Veranstaltungsdatum: | 20.08.2018-26.08.2018 |
| URL / URN: | http://aclweb.org/anthology/C18-2002 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e.g., concept linking, fact linking, knowledge base population, semantic frame annotation). These tasks are very time consuming and demanding for annotators, especially when knowledge bases are used. We address these issues by developing an annotation platform that incorporates machine learning capabilities which actively assist and guide annotators. The platform is both generic and modular. It targets a range of research domains in need of semantic annotation, such as digital humanities, bioinformatics, or linguistics. INCEpTION is publicly available as open-source software. |
| Freie Schlagworte: | UKP_p_INCEpTION;UKP_a_LangTech4eHum;UKP_reviewed |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 31 Jul 2018 09:03 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
| PPN: | |
| Projekte: | UKP_p_INCEpTION |
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