A critical challenge in constructing a natural language interface to database (NLIDB) is
bridging the semantic gap between a natural language query (NLQ) and the underlying …

Data documents play a central role in recording, presenting, and disseminating data.
Despite the proliferation of applications and systems designed to support the analysis …

While natural language systems continue improving, they are still imperfect. If a user has a
better understanding of how a system works, they may be able to better accomplish their …

AI assistants can now carry out tasks for users by directly interacting with website UIs.
Current semantic parsing and slot-filling techniques cannot flexibly adapt to many different …

The database systems course is offered as part of an undergraduate computer science
degree program in many major universities. A key learning goal of learners taking such a …

Recent progress in semantic parsing scarcely considers languages other than English but
professional translation can be prohibitively expensive. We adapt a semantic parser trained …

Natural Language Interface to Database (NLIDB) eliminates the need for an end user to use
complex query languages like SQL by translating the input natural language statements to …

Relational database management systems (RDBMSs) are powerful because they are able
to optimize and execute queries against relational databases. However, when it comes to …

Data visualization has become a vital tool to help people understand the driving forces
behind real-world phenomena. Although the learning curve of visualization tools have been …

A natural language interface (NLI) to databases is an interface that translates a natural
language question to a structured query that is executable by database management …