A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images

EMNLP 2018 Melissa AilemBowen ZhangAurelien BelletPascal DenisFei Sha

Several recent studies have shown the benefits of combining language and perception to infer word embeddings. These multimodal approaches either simply combine pre-trained textual and visual representations (e.g. features extracted from convolutional neural networks), or use the latter to bias the learning of textual word embeddings... (read more)

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