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Hits 1 – 6 of 6
1
Deep Learning for Text Style Transfer: A Survey ...
Jin, Di
;
Jin, Zhijing
;
Hu, Zhiting
. - : ETH Zurich, 2022
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2
Deep Learning for Text Style Transfer: A Survey
Vechtomova, Olga
;
Jin, Zhijing
;
Hu, Zhiting
;
Jin, Di
;
Mihalcea, Rada
In: Computational Linguistics, 48 (1) (2022)
Abstract:
Text style transfer is an important task in natural language generation, which aims to control certain attributes in the generated text, such as politeness, emotion, humor, and many others. It has a long history in the field of natural language processing, and recently has re-gained significant attention thanks to the promising performance brought by deep neural models. In this article, we present a systematic survey of the research on neural text style transfer, spanning over 100 representative articles since the first neural text style transfer work in 2017. We discuss the task formulation, existing datasets and subtasks, evaluation, as well as the rich methodologies in the presence of parallel and non-parallel data. We also provide discussions on a variety of important topics regarding the future development of this task.1 ; ISSN:0891-2017 ; ISSN:0362-613X ; ISSN:1530-9312
URL:
https://doi.org/10.3929/ethz-b-000543432
https://hdl.handle.net/20.500.11850/543432
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3
Deep Learning for Text Style Transfer: A Survey ...
Jin, Di
;
Jin, Zhijing
;
Hu, Zhiting
. - : arXiv, 2020
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4
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
Vechtomova, Olga
In: DTIC (2010)
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5
University of Waterloo at TREC 2008 Blog Track
Vechtomova, Olga
In: DTIC (2008)
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6
Noun phrases in interactive query expansion and document ranking
Vechtomova, Olga
In:
Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V.
9 (2006) 4, 399-420
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