2014 TAGSPACESemanticEmbeddingsfromH
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- (Weston et al., 2014) ⇒ Jason Weston, Sumit Chopra, and Keith Adams. (2014). “#TAGSPACE: Semantic Embeddings from Hashtags.” In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Subject Headings: Convolutional Neural Network.
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Abstract
We describe a convolutional neural network that learns feature representations for short textual posts using hashtags as a supervised signal. The proposed approach is trained on up to 5.5 billion words predicting 100,000 possible hashtags. As well as strong performance on the hashtag prediction task itself, we show that its learned representation of text (ignoring the hashtag labels) is useful for other tasks as well. To that end, we present results on a document recommendation task, where it also outperforms a number of baselines.
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2014 TAGSPACESemanticEmbeddingsfromH | Jason Weston Sumit Chopra Keith Adams |
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