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20172021
most citedLearning to Learn from Weak Supervision by Full Supervision

38 citations · 74 across the 4 of their papers we have counts for

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cs.CL2021

Focus Attention: Promoting Faithfulness and Diversity in Summarization

Rahul Aralikatte, Shashi Narayan, Joshua Maynez +2

Professional summaries are written with document-level information, such as the theme of the document, in mind. This is in contrast with most seq2seq decoders which simultaneously…

cs.CL2020

Unsupervised Text Style Transfer with Padded Masked Language Models

Eric Malmi, Aliaksei Severyn, Sascha Rothe

We propose Masker, an unsupervised text-editing method for style transfer. To tackle cases when no parallel source-target pairs are available, we train masked language models (MLMs…

cs.CL2020

A Generative Approach to Titling and Clustering Wikipedia Sections

Anjalie Field, Sascha Rothe, Simon Baumgartner +2

We evaluate the performance of transformer encoders with various decoders for information organization through a new task: generation of section headings for Wikipedia articles. Ou…

cs.CL2019

Encode, Tag, Realize: High-Precision Text Editing

Eric Malmi, Sebastian Krause, Sascha Rothe +2

We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task. Target texts are reconstructed from the inputs using three main edit operati…

cs.CL2018

Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!

Katharina Kann, Sascha Rothe, Katja Filippova

Motivated by recent findings on the probabilistic modeling of acceptability judgments, we propose syntactic log-odds ratio (SLOR), a normalized language model score, as a metric fo…