Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Understanding natural language questions entails the ability to break down a question into
the requisite steps for computing its answer. In this work, we introduce a Question …

Recent advances in natural language understanding and processing resulted in renewed
interest in natural language based interfaces to data, which provide an easy mechanism for …

Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

Translating natural language to SQL (NL2SQL) has received extensive attention lately,
especially with the recent success of deep learning technologies. However, despite the …

Natural language to SQL (NL2SQL) techniques provide a convenient interface to access
databases, especially for non-expert users, to conduct various data analytics. Existing …

Natural Language Interfaces to Databases (NLIDB) systems eliminate the requirement for an
end user to use complex query languages like SQL, by translating the input natural …

Learned databases, or AI4DB techniques, have rapidly developed in the last decade.
Deploying machine learning (ML) and AI4DB algorithms into actual databases is the gold …

Recent advances in machine learning (ML) and natural language processing (NLP) have
led to significant improvement in natural language interfaces for structured databases …