The Role of Context Types and Dimensionality in Learning Word Embeddings

We provide the first extensive evaluation of how using different types of context to learn skip-gram word embeddings affects performance on a wide range of intrinsic and extrinsic NLP tasks. Our results suggest that while intrinsic tasks tend to exhibit a clear preference to particular types of cont...

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Hauptverfasser:	Melamud, Oren, McClosky, David, Patwardhan, Siddharth, Bansal, Mohit
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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