Future work will explore further how the goals of short text authors translate into measurable properties of the texts they write, and how measuring those properties can help predict which similarity metrics and clustering methods will combine to provide the best performance.
we conclude both that CLUE is more tightly clustered than the other datasets and that surface-form-based measures yield tighter clusters than semantics-based measures.