activity
20162022
most citedAutomatic Prediction of Discourse Connectives

9 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022★ 1 cited

Text Generation with Text-Editing Models

Eric Malmi, Yue Dong, Jonathan Mallinson +7

Text-editing models have recently become a prominent alternative to seq2seq models for monolingual text-generation tasks such as grammatical error correction, simplification, and s…

cs.CL2021

A Simple Recipe for Multilingual Grammatical Error Correction

Sascha Rothe, Jonathan Mallinson, Eric Malmi +2

This paper presents a simple recipe to train state-of-the-art multilingual Grammatical Error Correction (GEC) models. We achieve this by first proposing a language-agnostic method…

cs.CL2019★ 4 cited

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.CL2017★ 9 cited

Automatic Prediction of Discourse Connectives

Eric Malmi, Daniele Pighin, Sebastian Krause +1

Accurate prediction of suitable discourse connectives (however, furthermore, etc.) is a key component of any system aimed at building coherent and fluent discourses from shorter se…

cs.CL2016

SynsetRank: Degree-adjusted Random Walk for Relation Identification

Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn +3

In relation extraction, a key process is to obtain good detectors that find relevant sentences describing the target relation. To minimize the necessity of labeled data for refinin…