TOWARDS A ROBUST UNDERSTANDING OF ARABIC WORD SENSE
Word Sense Disambiguation (WSD) is a task which aims to identify the meaning of a word given its context. This problem has been investigated and analyzed in depth in English. However, work in Arabic has been limited despite the fact that there are half a billion native Arabic speakers. In this work, we present multiple approaches for the problem of WSD in Arabic, inspired by recent developments and successes in learning word embeddings with approaches such as GloVe, and Word2vec. The primary shortcoming of word embeddings is the single vector representation of a word’s meaning, although ...
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