concreteness scores produced by Turney et al. (2011) and Brysbaert et al. (2014) supports the argument that the linguistic concept of concreteness can be acquired in an unsupervised way Compared to PRPN trained on the full training set, VG-NSL and VG-NSL+HI reach comparable performance using only 20% of thedata. VG-NSL tends to quickly become more stable as the amount of data increases, while PRPN and ON-LSTM remain less stable.