Context Vectors are Reflections of Word Vectors in Half the Dimensions

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Context representations are a key element in distributional models of word meaning. In contrast to typical representations based on neighboring words, a recently proposed approach suggests to represent a context of a target word by a substitute vector, comprising the potential fillers for the target word slot in that context. In this work we first propose a variant of substitute vectors, which ...

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Information Retrieval (IR) models based on vector spaces have been investigated for a long time. Nevertheless, they have recently attracted further research interest beyond the classical statistical view of vectors and matrices. Moreover, “context” has been recognized as a crucial component of IR systems. As the way context affects IR systems is very complex, a principled approach to modeling a...

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This talk explores how new vector-based approaches to computational semantics both afford new methods to digital humanities research, and raise interesting questions for eighteenth-century literary studies in particular. New semantic models known as “word embedding models” have generated excitement recently in the natural language processing and machine learning communities, due to their abilit...

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ژورنال

عنوان ژورنال: Journal of Artificial Intelligence Research

سال: 2019

ISSN: 1076-9757

DOI: 10.1613/jair.1.11368