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20162021
most citedDiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion

18 citations · 20 across the 4 of their papers we have counts for

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cs.CL20212 cited

Controlled Text Generation as Continuous Optimization with Multiple Constraints

Sachin Kumar, Eric Malmi, Aliaksei Severyn +1

As large-scale language model pretraining pushes the state-of-the-art in text generation, recent work has turned to controlling attributes of the text such models generate. While m…

cs.CL2020

Semantically Driven Sentence Fusion: Modeling and Evaluation

Eyal Ben-David, Orgad Keller, Eric Malmi +2

Sentence fusion is the task of joining related sentences into coherent text. Current training and evaluation schemes for this task are based on single reference ground-truths and d…

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

Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders

Nikola I. Nikolov, Eric Malmi, Curtis G. Northcutt +1

The ability to combine symbols to generate language is a defining characteristic of human intelligence, particularly in the context of artistic story-telling through lyrics. We dev…

cs.CL2020

Felix: Flexible Text Editing Through Tagging and Insertion

Jonathan Mallinson, Aliaksei Severyn, Eric Malmi +1

We present Felix --- a flexible text-editing approach for generation, designed to derive the maximum benefit from the ideas of decoding with bi-directional contexts and self-superv…

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…