53 search results - page 3 / 11 » Latent Vector Weighting for Word Meaning in Context |
CORR
2011
Springer
13 years 19 days ago
2011
Springer
Coecke, Sadrzadeh, and Clark [3] developed a compositional model of meaning for distributional semantics, in which each word in a sentence has a meaning vector and the distributio...
SMC
2010
IEEE
13 years 4 months ago
2010
IEEE
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
ENTCS
2011
13 years 18 days ago
2011
We use Bell states to provide compositional distributed meaning for negative sentences of English. The lexical meaning of each word of the sentence is a context vector obtained wi...
EMNLP
2010
13 years 3 months ago
2010
The computation of meaning similarity as operationalized by vector-based models has found widespread use in many tasks ranging from the acquisition of synonyms and paraphrases to ...
EMNLP
2010
13 years 3 months ago
2010
We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...