pedrada88/rwe
Repository containing data and code of the ACL-19 paper "Relational Word Embeddings"
This project helps researchers and developers working with natural language understand the relationships between words. It takes standard word embeddings (like FastText) and relation embeddings (which capture how word pairs are related) as input. The output is 'relational word embeddings' that explicitly model these semantic relationships, useful for advanced text analysis and language understanding tasks.
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Use this if you need to generate specialized word embeddings that explicitly encode the relationships between words for your natural language processing research or application.
Not ideal if you just need standard, off-the-shelf word embeddings for basic text processing without focusing on word relationships.
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Python
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Jul 14, 2020
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