In this paper, we analyze the task of automatically correcting run-on sentences. We develop two methods: a conditional random field model (roCRF) and a Seq2Seq attention model (roS2S) and show that they outperform models from the sister tasks of punctuation restoration and whole-sentence grammatical error correction. 
 Question: Which machine learning models do they use to correct run-on sentences?
conditional random field model Seq2Seq attention model