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 …

Simple questions are the most common type of questions used for evaluating a knowledge
graph question answering (KGQA). A simple question is a question whose answer can be …

A multi-hop question answering (QA) dataset aims to test reasoning and inference skills by
requiring a model to read multiple paragraphs to answer a given question. However, current …

Abstract Knowledge graphs have gained increasing popularity in the last decade in science
and technology. However, knowledge graphs are currently relatively simple to moderate …

With the development of the Semantic Web, a lot of new structured data has become
available on the Web in the form of knowledge bases (KBs). Making this valuable data …

The Natural Language Processing (NLP) community has significantly contributed to the
solutions for entity and relation recognition from a natural language text, and possibly linking …

Question answering has emerged as an intuitive way of querying structured data sources,
and has attracted significant advancements over the years. In this article, we provide an …

There has been a surge of interest in utilizing Knowledge Graphs (KGs) for various natural
language processing/understanding tasks. The conventional mechanism to retrieve facts in …

Abstract Created in October 2012, Wikidata is a large-scale, human-readable, machine-
readable, multilingual, multidisciplinary, centralized, editable, structured, and linked …

Relation linking is a crucial component of Knowledge Base Question Answering systems.
Existing systems use a wide variety of heuristics, or ensembles of multiple systems, heavily …