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Towards Robust and Transparent Natural Language Interfaces for Databases

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.-19.06.2020)
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Brandt, Christoph ; Hättasch, Benjamin ; Geisler, Nadja ; Binnig, Carsten
Type of entry: Bibliographie
Title: Towards Robust and Transparent Natural Language Interfaces for Databases
Language: English
Date: 14 June 2020
Event Title: Workshop on Human-In-the-Loop Data Analytics (HILDA’20)
Event Location: Portland, USA
Event Dates: 14.-19.06.2020
URL / URN: https://hilda.io/2020/
Corresponding Links:
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.

Uncontrolled Keywords: dm, dm_aiphes, dm_project_AIPHES_area_d2
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Data Management (2022 umbenannt in Data and AI Systems)
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Date Deposited: 10 Dec 2021 08:29
Last Modified: 10 Dec 2021 08:29
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