Neural sequence-to-sequence models have led to substantial improvements on this task of abstractive summarization, via machine translation inspired encoder-aligner-decoder approaches, further enhanced via convolutional encoders, pointer-copy mechanisms, and hierarchical attention (Rush et al., 2015;<cite> Nallapati et al., 2016</cite>; See et al., 2017) . Despite these promising recent improvements, Input Document: may is a pivotal month for moving and storage companies . Ground-truth Summary: moving companies hit bumps in economic road Baseline Summary: a month to move storage companies Multi-task Summary: pivotal month for storage firms there is still scope in better teaching summarization models about the general natural language inference skill of logical entailment generation.