Of course, we would not expect researchers to produce industrial strength code, or provide continuing free ongoing support for multiple years after publication, but the situation is clearly problematic for the development of the new field in general. In this paper, we therefore reproduce three papers chosen as they employ widely differing methods: Neural Pooling (NP) , NP with dependency parsing<cite> (Wang et al., 2017)</cite> , and RNN (Tang et al., 2016a) , as well as having been applied largely to different datasets.