We assessed summaries from two state-ofthe-art abstractive summarization systems using our highlight-based evaluation: (i) the PointerGenerator model (PTGEN) introduced by See et al. (2017) is an RNN-based abstractive systems which allows to copy words from the source text, and (ii) the Topic-aware Convolutional Sequence to Sequence model (TCONVS2S) introduced by<cite> Narayan et al. (2018b)</cite> is an abstractive model which is conditioned on the article's topics and based entirely on Convolutional Neural Networks.