For a QA application, it means that the classes of domain-specific semantic concepts can be used to generate signature vectors and the semantic similarity with the signature vectors of the answer candidates can be computed for retrieval and ranking.
we are interested in training new neural networks in multi-and cross-lingual term extraction and definition retrieval settings.