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Text Attribute Transfer
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The goal of the Text Attribute Transfer task is to change an input text such that the value of a particular linguistic attribute of interest (e.g. language = English, sentiment = Positive) is transferred to a different desired value (e.g. language = French, sentiment = Negative). This task needs approaches that can disentangle the content from other linguistic attributes of the text.
Source: Improved Neural Text Attribute Transfer with Non-parallel Data
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Deep Learning for Text Style Transfer: A Survey
Rethinking Text Attribute Transfer: A Lexical Analysis
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
Improved Neural Text Attribute Transfer with Non-parallel Data
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