A method that represents each word by the concatenated autoencoder latent codes of images of its dictionary definition terms, evaluated on word similarity, categorization, and outlier detection.
A neural probabilistic language model
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Using Images to Find Context-Independent Word Representations in Vector Space
A method that represents each word by the concatenated autoencoder latent codes of images of its dictionary definition terms, evaluated on word similarity, categorization, and outlier detection.