Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

Despite improved digital access to scholarly knowledge in recent decades, scholarly
communication remains exclusively document-based. In this form, scholarly knowledge is …

Over the years, a growing number of semantic data repositories have been made available
on the web. However, this has created new challenges in exploiting these resources …

Many question answering systems over knowledge graphs rely on entity and relation linking
components in order to connect the natural language input to the underlying knowledge …

This paper addresses the task of (complex) conversational question answering over a
knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with …

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 …

Short texts challenge NLP tasks such as named entity recognition, disambiguation, linking
and relation inference because they do not provide sufficient context or are partially …

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 …

Question answering over knowledge graphs (KGQA) has evolved from simple single-fact
questions to complex questions that require graph traversal and aggregation. We propose a …

Abstract Knowledge graphs are a powerful concept for querying large amounts of data.
These knowledge graphs are typically enormous and are often not easily accessible to end …