DE eng

Search in the Catalogues and Directories

Hits 1 – 6 of 6

1
Deep Learning for Text Style Transfer: A Survey ...
Jin, Di; Jin, Zhijing; Hu, Zhiting. - : ETH Zurich, 2022
BASE
Show details
2
Deep Learning for Text Style Transfer: A Survey
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
BASE
Hide details
3
Deep Learning for Text Style Transfer: A Survey ...
Jin, Di; Jin, Zhijing; Hu, Zhiting. - : arXiv, 2020
BASE
Show details
4
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
In: DTIC (2010)
BASE
Show details
5
University of Waterloo at TREC 2008 Blog Track
In: DTIC (2008)
BASE
Show details
6
Noun phrases in interactive query expansion and document ranking
In: Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V. 9 (2006) 4, 399-420
BLLDB
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
1
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
5
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern