arXiv · 1412.7004
Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison
Abstract
We investigate the problem of inducing word embeddings that are tailored for a particular bilexical relation. Our learning algorithm takes an existing lexical vector space and compresses it such that the resulting word embeddings are good predictors for a target bilexical relation. In experiments we show that task-specific embeddings can benefit both the quality and efficiency in lexical prediction tasks.
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Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni. 2014-12-22. Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison. https://arxiv.org/abs/1412.7004
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