Previously proposed models (summarized in Section 2) exhibit several issues that the neural network-based baseline approach (detailed in Section 3.1) overcomes: (i) our model uses automatically extracted features without the need of external parsers nor manually extracted features (see Gupta et al. (2016) ; Miwa and Bansal (2016) ; Li et al. (2017) ), (ii) all entities and the corresponding relations within the sentence are extracted at once, instead of examining one pair of entities at a time (see Adel and Schütze (2017) ), and (iii) we model relation extraction in a multi-label setting, allowing multiple relations per entity (see Katiyar and Cardie (2017) ; <cite>Bekoulis et al. (2018a)</cite> ).