To bridge the gap between users and data, numerous text-to-SQL systems have been
developed that allow users to pose natural language questions over relational databases …

We propose a new formulation for multilingual entity linking, where language-specific
mentions resolve to a language-agnostic Knowledge Base. We train a dual encoder in this …

We describe a novel way of representing a symbolic knowledge base (KB) called a sparse-
matrix reified KB. This representation enables neural modules that are fully differentiable …

We tackle the problem of weakly-supervised conversational Question Answering over large
Knowledge Graphs using a neural semantic parsing approach. We introduce a new Logical …

Natural Language Interface to Database (NLIDB) translates human utterances into SQL
queries and enables database interactions for non-expert users. Recently, neural network …

Automatic product attribute value extraction refers to the task of identifying values of an
attribute from the product information. Product attributes are essential in improving online …