T about an issue may not be the best way to reach a conclusion or an answer. It is a common practice to talk about things that are occupying the mind and when trying to reach a certain outcome. Individuals are encouraged to talk about their problems and express themselves so that others can help. But does talking about something change the way one views it? Recent studies have explored this que...

Our project aims at the automatic generation of multilingual text for product maintenance and documentation from a structured knowledge representation. The language independent representation is also designed to allow for the qualitative simulation of the documentation steps and to support the generation of multilingual text by ooering diierent levels of detailed action descriptions for verbali...

Correlation patterns between the electroencephalographic activity of both hemispheres in adult subjects were obtained. The morphology of these patterns for one subject was compared with another subject's patterns during control situations without communication, and during sessions in which direct communication was stimulated. Neither verbalization nor visual or physical contact are necessary fo...

We report on the integration of Tps as an external reasoning component into the mathematical assistant system mega. Thereby Tps can be used both as an automatic theorem prover for higher order logic as well as interactively employed from within the mega environment. Tps proofs can be directly incorporated into mega on a tactic level enabling their visualization and verbalization. Using an examp...

Natural language content in ontologies is crucial to any human interaction with them, but scarcely available. Terminology science centers on best practices in domain-speci c natural languages. Hence, ontologies can bene t from the systematic approach of terminology to natural language de nitions. This paper proposes an Annotation Ontology Design Pattern named Natural Language De nition ODP that...

Ontology verbalization techniques have been introduced to automatically translate description logic (DL) axioms and derivations to natural-language texts. This way, non-expert users can be offered explanations for subsumptions derived by systems using ontologies for knowledge-representation. We address the question of the readability and understandability of explanations generated from longer c...

This paper describes CAMR, the transitionbased parser that we use in the SemEval-2016 Meaning Representation Parsing task. The main contribution of this paper is a description of the additional sources of information that we use as features in the parsing model to further boost its performance. We start with our existing AMR parser and experiment with three sets of new features: 1) rich named e...