18 citations · 18 across the 3 of their papers we have counts for
7 papers
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…
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…
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…
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…
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
Mor Geva, Eric Malmi, Idan Szpektor +1
Sentence fusion is the task of joining several independent sentences into a single coherent text. Current datasets for sentence fusion are small and insufficient for training moder…
Domain Adaptation for Resume Classification Using Convolutional Neural Networks
Luiza Sayfullina, Eric Malmi, Yiping Liao +1
We propose a novel method for classifying resume data of job applicants into 27 different job categories using convolutional neural networks. Since resume data is costly and hard t…