Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"sentiment transfer"”.
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Self-supervised text sentiment transfer with rationale predictions and pretrained transformers
Sentiment transfer involves changing the sentiment of a sentence, such as from a positive to negative sentiment, whilst maintaining the informational content. Whilst this challenge in the NLP research domain can be constructed as a translation problem, traditional sequence-to-sequence translation …
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Evaluating style transfer in natural language
Style transfer is an active area of research growing in popularity in the Natural Language setting. The goal of this thesis is present a comprehensive review of style transfer tasks used to date, analyze these tasks, and delineate important properties and candidate tasks for future methods …
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Unsupervised Text Translation Through the Application of Generative Adversarial Networks
… the style. This encompasses many tasks including sentiment transfer, text summarization, and language translation. One defining characteristic of these problems is the lack of access to paired training data, which inhibits training via a straightforward maximum likelihood estimation approach. This …
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Controlling Neural Language Generation
… on text infilling, ancient text restoration, and sentiment transfer. Next, we investigate text autoencoders and their use to control generation through latent space operations. We establish a theory on how to mold a meaningful latent space geometry for discrete text data. Building on this, we …
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A study of the translation of sentiment in user-generated text
… For this reason, preserving the original sentiment of the source text has always been a challenging task that draws in a translator's competence and fi nesse. In the professional translation industry, an incorrect translation of the sentiment-carrying lexicon is considered a critical error …