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Evaluating Word Embedding Hyper-Parameters for Similarity and Analogy Tasks
The versatility of word embeddings for various applications is attracting researchers from various fields.
Cross-Lingual Word Embeddings for Low-Resource Language Modeling
We investigate the use of such lexicons to improve language models when textual training data is limited to as few as a thousand sentences.
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