The low-rank tensor models are also at least twice as fast to train as the full tensors: on a single core, training a rank-1 tensor takes about 5 seconds for each verb on average, ranks 5-50 each take between 1 and 2 minutes, and the full tensors each take about 4 minutes.
we filter the SVO triples to a set containing 345 distinct verbs: the verbs from our test datasets, along with some additional high-frequency verbs included to produce more representative sentence spaces.