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arXiv · 1609.08293

The Effects of Data Size and Frequency Range on Distributional Semantic Models

Magnus Sahlgren·Alessandro Lenci
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Abstract

This paper investigates the effects of data size and frequency range on distributional semantic models. We compare the performance of a number of representative models for several test settings over data of varying sizes, and over test items of various frequency. Our results show that neural network-based models underperform when the data is small, and that the most reliable model over data of varying sizes and frequency ranges is the inverted factorized model.

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Magnus Sahlgren, Alessandro Lenci. 2016-09-27. The Effects of Data Size and Frequency Range on Distributional Semantic Models. https://arxiv.org/abs/1609.08293

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