# Reflection-based Word Attribute Transfer

arXiv: https://arxiv.org/abs/2007.02598 · HTML: https://mlsanity.com/paper/2007.02598/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Jul 2020.

## Built on by (most cited first, 1 of 1)

- [Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings](https://mlsanity.com/paper/2406.10984/) (2024)

## Abstract (arXiv)

Word embeddings, which often represent such analogic relations as king - man + woman = queen, can be used to change a word's attribute, including its gender. For transferring king into queen in this analogy-based manner, we subtract a difference vector man - woman based on the knowledge that king is male. However, developing such knowledge is very costly for words and attributes. In this work, we propose a novel method for word attribute transfer based on reflection mappings without such an analogy operation. Experimental results show that our proposed method can transfer the word attributes of the given words without changing the words that do not have the target attributes.