Automatic detection of software security vulnerabilities is critical in software quality
assurance. Many static analysis tools that can help detect security vulnerabilities have been …

In this work, we focus on the task of generating SPARQL queries from natural language
questions, which can then be executed on Knowledge Graphs (KGs). We assume that gold …

Abstract Knowledge Base Question Answering systems (KBQA) aim to find answers to
natural language questions over a knowledge base. This work presents a template matching …

Automatic detection of software bugs is a critical task in software security. Many static tools
that can help detect bugs have been proposed. While these static bug detectors are mainly …

One of the effective approaches for answering natural language questions (NLQs) over
knowledge graphs consists of two main stages. It first creates a query graph based on the …

Accessing the large volumes of information available in public knowledge bases might be
complicated for those users unfamiliar with formal languages, such as the SPARQL query …

Recently, many question answering systems that derive answers from linked data
repositories have been developed. The purpose of this survey is to identify the common …

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 …

The application of machine learning (ML) libraries has tremendously increased in many
domains, including autonomous driving systems, medical, and critical industries …

Abstract Question Answering over Knowledge Graphs (KGQA) blends natural language
processing with structured knowledge representation. While much attention of existing …