Paper

Evaluation of Unsupervised Compositional Representations

We evaluated various compositional models, from bag-of-words representations to compositional RNN-based models, on several extrinsic supervised and unsupervised evaluation benchmarks. Our results confirm that weighted vector averaging can outperform context-sensitive models in most benchmarks, but structural features encoded in RNN models can also be useful in certain classification tasks... (read more)

Results in Papers With Code
(↓ scroll down to see all results)