Miroslav Batchkarov
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View article: Evaluating distributional models of compositional semantics
Evaluating distributional models of compositional semantics Open
Distributional models (DMs) are a family of unsupervised algorithms that represent the meaning of words as vectors. They have been shown to capture interesting aspects of semantics. Recent work has sought to compose word vectors in order t…
View article: Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP Open
The quality of word representations is frequently assessed using correlation with human judgements of word similarity.Here, we question whether such intrinsic evaluation can predict the merits of the representations for downstream tasks.We…
View article: A critique of word similarity as a method for evaluating distributional semantic models
A critique of word similarity as a method for evaluating distributional semantic models Open
This paper aims to re-think the role of the word similarity task in distributional semantics research. We argue while it is a valuable tool, it should be used with care because it provides only an approximate measure of the quality of a di…