In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

High quality source code is often paired with high level summaries of the computation it
performs, for example in code documentation or in descriptions posted in online forums …

Being able to access knowledge bases in an intuitive way has been an active area of
research over the past years. In particular, several question answering (QA) approaches …

Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …

Code retrieval and summarization are two tasks often employed by software developers to
reuse code that spreads over online repositories. In this paper, we present a neural …

Informatics in materials science and engineering is playing more and more important role in
contemporary society. Intelligent applications such as new materials discovery, materials …

Previous work approaches the SQL-to-text generation task using vanilla Seq2Seq models,
which may not fully capture the inherent graph-structured information in SQL query. In this …

Semantic Question Answering (QA) is a crucial technology to facilitate intuitive user access
to semantic information stored in knowledge graphs. Whereas most of the existing QA …

Most people need textual or visual interfaces in order to make sense of Semantic Web data.
In this paper, we investigate the problem of generating natural language summaries for …

As a promising paradigm, interactive semantic parsing has shown to improve both semantic
parsing accuracy and user confidence in the results. In this paper, we propose a new …