“…Tensors are powerful because they can capture important higher order interactions across time, feature dimensions, and multiple modalities (Kossaifi et al, 2017). For unimodal tasks, tensors have been used for part-of-speech tagging (Srikumar and Manning, 2014), dependency parsing (Lei et al, 2014), word segmentation (Pei et al, 2014), question answering (Qiu and Huang, 2015), and machine translation (Setiawan et al, 2015). For multimodal tasks, Huang et al (2017) used tensor products between images and text features for image captioning.…”