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Found 3 papers, 3 papers with code
Similarity encoding for learning with dirty categorical variables
We show that a simple approach that exposes the redundancy to the learning algorithm brings significant gains.
Encoding high-cardinality string categorical variables
We introduce two encoding approaches for string categories: a Gamma-Poisson matrix factorization on substring counts, and the min-hash encoder, for fast approximation of string similarities.
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers
Namely, we find that realignment works better on tasks for which alignment is correlated with cross-lingual transfer when generalizing to a distant language and with smaller models, as well as when using a bilingual dictionary rather than FastAlign to extract realignment pairs.
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