Papers by Mark-Christoph Müller

1 papers
Transparent, Efficient, and Robust Word Embedding Access with WOMBAT (C18-2)

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Challenge: WOMBAT is a Python tool that supports accessing word embeddings from code.
Approach: WOMBAT is a Python tool which supports NLP practitioners in accessing word embeddings from code.
Outcome: WOMBAT is a Python tool which supports accessing word embeddings from code.

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