Papers by Mohammed Alsuhaibani

1 papers
Joint Learning of Sense and Word Embeddings (L18-1)

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Challenge: Existing methods for learning lower-dimensional representations of words using unlabelled data learn a single representation for a word, ignoring the different senses of that word (polysemy).
Approach: They propose a method that jointly learns sense-aware word embeddings using both unlabelled and sense-tagged text corpora.
Outcome: The proposed method outperforms competing methods on word similarity and short-text classification benchmark datasets.

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