26 citations · 35 across the 6 of their papers we have counts for
6 papers
From Data Querying to Data Investigations: Rethinking Natural Language Interfaces for Databases
Fabian Wenz, Zixuan Chen, Carsten Binnig
Natural language (NL) interfaces to databases have been optimized for the wrong problem. The dominant Text-to-SQL paradigm assumes that users ask questions that can be answered by…
Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for Transactional Databases
Marius Gassen, Benjamin Hättasch, Benjamin Hilprecht +3
Databases for OLTP are often the backbone for applications such as hotel room or cinema ticket booking applications. However, developing a conversational agent (i.e., a chatbot-lik…
ASET: Ad-hoc Structured Exploration of Text Collections [Extended Abstract]
Benjamin Hättasch, Jan-Micha Bodensohn, Carsten Binnig
In this paper, we propose a new system called ASET that allows users to perform structured explorations of text collections in an ad-hoc manner. The main idea of ASET is to use a n…
It's AI Match: A Two-Step Approach for Schema Matching Using Embeddings
Benjamin Hättasch, Michael Truong-Ngoc, Andreas Schmidt +1
Since data is often stored in different sources, it needs to be integrated to gather a global view that is required in order to create value and derive knowledge from it. A critica…
DBPal: Weak Supervision for Learning a Natural Language Interface to Databases
Nathaniel Weir, Andrew Crotty, Alex Galakatos +9
This paper describes DBPal, a new system to translate natural language utterances into SQL statements using a neural machine translation model. While other recent approaches use ne…
An End-to-end Neural Natural Language Interface for Databases
Prasetya Utama, Nathaniel Weir, Fuat Basik +6
The ability to extract insights from new data sets is critical for decision making. Visual interactive tools play an important role in data exploration since they provide non-techn…