| natural language generation |
Description |
We specialise in exploiting surface clues, term distribution and co-occurrence patterns,
to leverage high level information, for instance on semantic similarity or semantic
relations between concepts. We like to extend NLP techniques to other types of representation,
such as ontologies or diagrams, and our approaches to term distribution support our
interest in bootstrapping resources for less studies languages, such as Arabic, and
in dataset profiling, or the investigation of the dependency between NLP technique
performance and corpus characteristics. |