Few-Shot Representation Learning for Out-Of-Vocabulary Words

ACL 2019 Ziniu HuTing ChenKai-Wei ChangYizhou Sun

Existing approaches for learning word embeddings often assume there are sufficient occurrences for each word in the corpus, such that the representation of words can be accurately estimated from their contexts. However, in real-world scenarios, out-of-vocabulary (a.k.a... (read more)

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