Pavlos Vougiouklis

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Finding the natural language equivalent of structured data is both a challenging and promising task. In particular, an efficient alignment of knowledge bases with texts would benefit many applications, including natural language generation, information retrieval and text simplification. In this paper, we present an approach to build a dataset of triples(More)
We present a novel response generation system. The system assumes the hypothesis that participants in a conversation base their response not only on previous dialog utterances but also on their background knowledge. Our model is based on a Recurrent Neural Network (RNN) that is trained over concatenated sequences of comments, a Convolution Neural Network(More)
Wikidata is a community-driven knowledge graph, strongly linked to Wikipedia. However, the connection between the two projects has been sporadically explored. We investigated the relationship between the two projects in terms of the information they contain by looking at their external references. Our findings show that while only a small number of sources(More)
Multilinguality is an important topic for knowledge bases, especially Wikidata, that was build to serve the multilingual requirements of an international community. Its labels are the way for humans to interact with the data. In this paper, we explore the state of languages in Wikidata as of now, especially in regard to its ontology, and the relationship to(More)
Most people do not interact with Semantic Web data directly. Unless they have the expertise to understand the underlying technology, they need textual or visual interfaces to help them make sense of it. We explore the problem of generating natural language summaries for Semantic Web data. This is non-trivial, especially in an open-domain context. To address(More)
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