activity
20182022
most citedIt's AI Match: A Two-Step Approach for Schema Matching Using Embeddings

5 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DB2022

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…

cs.CL2022

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…

cs.DB20225 cited

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…

cs.DB2019

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…

cs.DB2018

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…