We present SParC, a dataset for cross-domainSemanticParsing inContext that consists of
4,298 coherent question sequences (12k+ individual questions annotated with SQL …

Interactive question answering (QA), where a dialogue interface enables follow-up and
clarification questions, is a recent although long-advocated field of research. We report on …

Natural language interfaces to databases (NLIDB) democratize end user access to relational
data. Due to fundamental differences between natural language communication and …

Language User Interfaces (LUIs) could improve human-machine interaction for a wide
variety of tasks, such as playing music, getting insights from databases, or instructing …

Natural Language Understanding (NLU) is a core component of dialog systems. It typically
involves two tasks-intent classification (IC) and slot labeling (SL), which are then followed by …

The cross-database context-dependent Text-to-SQL (XDTS) problem has attracted
considerable attention in recent years due to its wide range of potential applications …

The amount of data generated in the modern world is so great that data lakes are now being
used to store data. However, relational databases are currently the primary repository for the …

Recently semantic parsing in context has received considerable attention, which is
challenging since there are complex contextual phenomena. Previous works verified their …

Virtual Assistant technology is rapidly proliferating to improve productivity in a variety of
tasks. While several virtual assistants for everyday tasks are well-known (eg, Siri, Cortana …

The success of interactive dialog systems is usually associated with the quality of the spoken
language understanding (SLU) task, which mainly identifies the corresponding dialog acts …