Reviews: Unbounded cache model for online language modeling with open vocabulary
–Neural Information Processing Systems
This paper discusses an extensions to the recently proposed continuous cache models by Grave et al. The authors propose a continuous cache model that is unbounded, hence can take into account events that happened an indefinitely long time ago. While interesting, the paper fails to provide good experimental evidence of its merits. Its main statement is that this model is better than Grave et al., but then does not compare with it. It only seems to compare with cache models from the nineties (Kuhn et al.), although that is not even clear as they spend only one line (line 206) discussing the models they compare with.
Neural Information Processing Systems
Oct-8-2024, 13:07:50 GMT
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