Question Answering (QA) systems aim at supplying precise answers to questions, posed by
users in a natural language form. They are used in a wide range of application areas, from …

Aiming to expand the current research paradigm for training conversational AI agents that
can address real-world challenges, we take a step away from traditional slot-filling goal …

In this paper we introduce an approach, called LODQA, for open domain Question
Answering over Linked Open Data. We confine ourselves to three kinds of questions: factoid …

There is a plethora of datasets in various formats which are usually stored in files, hosted in
catalogs, or accessed through SPARQL endpoints. In most cases, these datasets cannot be …

Faceted Search (FS) is a widely used exploratory search paradigm which is commonly
applied over multidimensional or graph data. However sometimes the structured data are …

Structured Query Language (SQL) remains the standard language used in Relational
Database Management Systems (RDBMSs) and has found applications in healthcare …

Post-authorship attribution is the computational process of determining the legitimate author
of an online text snippet, such as an email, blog, forum post, or chat log, by employing …

In order to take up the challenge of realising user-adaptive system behaviour, we present an
extension for the existing OwlSpeak Dialogue Manager which enables the handling of …

As conversational agents become integral parts of many aspects of our lives, current
approaches are reaching bottlenecks of performance that require increasing amounts of …

Multi-domain dialogue systems face challenges such as scaling algorithms to handle large
ontologies, or transferring trained policy models to unseen domains. We attempt to address …