Representation Learning for Type-Driven Composition

Published in CoNLL 2020, 2020

Recommended citation: Wijnholds, G., and Sadrzadeh, M. and Clark, S. (2020). "Representation Learning for Type-Driven Composition." Proceedings of the 24th Conference on Computational Natural Language Learning. [paper]

We implement a tensor-based skipgram architecture to learn verb matrix representations. These outperform previous methods in tensor-based representation learning and approach state of the art deep neural network models on the SICK dataset.