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Title:
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IN OTHER WORDS:
A NAIVE APPROACH TO TEXT SPINNING |
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Author(s):
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Frederik S. Bäumer, Joschka Kersting, Sergej Denisov and Michaela Geierhos |
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ISBN:
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978-989-8704-34-4 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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221 |
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Last Page:
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225 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Content is the new oil. Users consume billions of terabytes a day while surfing on news sites or blogs, posting on social
media sites, and sending chat messages around the globe. While content is heterogeneous, the dominant form of web
content is text. There are situations where more diversity needs to be introduced into text content, for example, to reuse it
on websites or to allow a chatbot to base its models on the information conveyed rather than of the language used. In
order to achieve this, paraphrasing techniques have been developed: One example is Text spinning, a technique that
automatically paraphrases text while leaving the intent intact. This makes it easier to reuse content, or to change the
language generated by the bot more human. One method for modifying texts is a combination of translation and
back-translation. This paper presents NATTS, a naive approach that uses transformer-based translation models to create
diversified text, combining translation steps in one model. An advantage of this approach is that it can be fine-tuned and
handle technical language. |
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