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 …

Transformer models have advanced the state of the art in many Natural Language
Processing (NLP) tasks. In this paper, we present a new Transformer architecture, Extended …

We present BRIDGE, a powerful sequential architecture for modeling dependencies
between natural language questions and relational databases in cross-DB semantic …

Question answering has emerged as an intuitive way of querying structured data sources
and has attracted significant advancements over the years. A large body of recent work on …

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 …

Structure information extraction refers to the task of extracting structured text fields from web
pages, such as extracting a product offer from a shopping page including product title …

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 …

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

Tables in Web documents are pervasive and can be directly used to answer many of the
queries searched on the Web, motivating their integration in question answering. Very often …

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 …