Parting ways with previous work on sentence compression, which heavily relied on humans to create gold standard references, this work has a particular focus on using data gathered from RSS feeds, which if successful, could open a door to building gold standard data in large quantities rapidly and with little human effort.
nYT-RSS has a heavy concentration of scores in a stretch between -5 and -10, indicating that for the most of time, the overlap between compression and its source is rather modest compared to CLwritten and CLspoken.