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task ID: textstyletransfer

Related Papers

Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractText style transfer rephrases a text from a source style (e.g., informal) to a target style (e.g., formal) while keeping its original meaning. Despite the success existing works have achieved …...

21969

Semi-supervised Text Style Transfer: Cross Projection in Latent Space

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractText style transfer task requires the model to transfer a sentence of one style to another style while retaining its original content meaning, which is a challenging problem that has …...

9023

A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this digital age, online users expect personalized content. To cater to diverse group of audiences across online platforms it is necessary to generate multiple variants of same content with …...

8694

Civil Rephrases Of Toxic Texts With Self-Supervised Transformers

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractPlatforms that support online commentary, from social networks to news sites, are increasingly leveraging machine learning to assist their moderation efforts. But this process does not typically provide feedback to …...

42690

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractText style transfer aims to alter the style (e.g., sentiment) of a sentence while preserving its content. A common approach is to map a given sentence to content representation that …...

8870

Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAdversarial attacks and backdoor attacks are two common security threats that hang over deep learning. Both of them harness task-irrelevant features of data in their implementation. Text style is a …...

31730

On Learning Text Style Transfer with Direct Rewards

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn most cases, the lack of parallel corpora makes it impossible to directly train supervised models for the text style transfer task. In this paper, we explore training algorithms that …...

21540

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractText style transfer aims to controllably generate text with targeted stylistic changes while maintaining core meaning from the source sentence constant. Many of the existing style transfer benchmarks primarily focus …...

21701

Syntax Matters! Syntax-Controlled in Text Style Transfer

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractExisting text style transfer (TST) methods rely on style classifiers to disentangle the text’s content and style attributes for text style transfer. While the style classifier plays a critical role …...

20275

TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe present a novel approach to the problem of text style transfer. Unlike previous approaches requiring style-labeled training data, our method makes use of readily-available unlabeled text by relying on …...

8536

Deep Learning for Text Style Transfer: A Survey

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractText 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 …...

41193

Low Resource Style Transfer via Domain Adaptive Meta Learning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractText style transfer (TST) without parallel data has achieved some practical success. However, most of the existing unsupervised text style transfer methods suffer from (i) requiring massive amounts of non-parallel …...

21187

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractStyle control, content preservation, and fluency determine the quality of text style transfer models. To train on a nonparallel corpus, several existing approaches aim to deceive the style discriminator with …...

30787

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractAutomatic transfer of text between domains has become popular in recent times. One of its aims is to preserve the semantic content while adapting to the target domain. However, it …...

39342

Text Style Transferring via Adversarial Masking and Styled Filling

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractText style transfer is an important task in natural language processing with broad applications. Existing models following the masking and filling scheme suffer two challenges: the word masking procedure may …...

30418

Text Style Transfer with Contrastive Transfer Pattern Mining

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractText style transfer (TST) is an important task in natural language generation, which aims to alter the stylistic attributes (e.g., sentiment) of a sentence and keep its semantic meaning unchanged. …...

38410