Brandt, Christoph ; Hättasch, Benjamin ; Geisler, Nadja ; Binnig, Carsten (2020)
Towards Robust and Transparent Natural Language Interfaces for Databases.
Workshop on Human-In-the-Loop Data Analytics (HILDA’20). Portland, USA (14.06.2020-19.06.2020)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In recent years the field of research on natural language interfaces for databases (NLIDBs) has progressed considerably, which can be seen by the results of challenges like Spider. However, most of these approaches concentrate on delivering best-guess answers and improving (computational) accuracy. Yet, there are still a lot of open issues regarding robustness, confidence, and transparency. Therefore, this vision paper starts to point to relevant milestones as well as corresponding opportunities for addressing them, opening up a potential path of the future development of NLIDBs.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Brandt, Christoph ; Hättasch, Benjamin ; Geisler, Nadja ; Binnig, Carsten |
| Art des Eintrags: | Bibliographie |
| Titel: | Towards Robust and Transparent Natural Language Interfaces for Databases |
| Sprache: | Englisch |
| Publikationsjahr: | 14 Juni 2020 |
| Veranstaltungstitel: | Workshop on Human-In-the-Loop Data Analytics (HILDA’20) |
| Veranstaltungsort: | Portland, USA |
| Veranstaltungsdatum: | 14.06.2020-19.06.2020 |
| URL / URN: | https://hilda.io/2020/ |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | In recent years the field of research on natural language interfaces for databases (NLIDBs) has progressed considerably, which can be seen by the results of challenges like Spider. However, most of these approaches concentrate on delivering best-guess answers and improving (computational) accuracy. Yet, there are still a lot of open issues regarding robustness, confidence, and transparency. Therefore, this vision paper starts to point to relevant milestones as well as corresponding opportunities for addressing them, opening up a potential path of the future development of NLIDBs. |
| Freie Schlagworte: | dm, dm_aiphes, dm_project_AIPHES_area_d2 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Data Management (2022 umbenannt in Data and AI Systems) DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 10 Dez 2021 08:29 |
| Letzte Änderung: | 10 Dez 2021 08:29 |
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