no code implementations • NAACL (ACL) 2022 • Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adamek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
Text-editing models have recently become a prominent alternative to seq2seq models for monolingual text-generation tasks such as grammatical error correction, simplification, and style transfer.
1 code implementation • ACL 2021 • Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn
This paper presents a simple recipe to train state-of-the-art multilingual Grammatical Error Correction (GEC) models.
Ranked #1 on
Grammatical Error Correction
on Falko-MERLIN
(using extra training data)
5 code implementations • IJCNLP 2019 • Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn
We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task.
Ranked #1 on
Sentence Fusion
on DiscoFuse
no code implementations • WS 2017 • Sebastian Krause, Mikhail Kozhevnikov, Eric Malmi, Daniele Pighin
Conversational agents offer users a natural-language interface to accomplish tasks, entertain themselves, or access information.
no code implementations • SEMEVAL 2017 • Kathrin Eichler, Feiyu Xu, Hans Uszkoreit, Sebastian Krause
A common approach is to exploit existing knowledge to learn linguistic patterns expressing the target relation and use these patterns for extracting new relation mentions.
1 code implementation • LREC 2018 • Eric Malmi, Daniele Pighin, Sebastian Krause, Mikhail Kozhevnikov
We formulate the task of discourse connective prediction and release a dataset of 2. 9M sentence pairs separated by discourse connectives for this task.
no code implementations • 2 Sep 2016 • Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn, Sven Schmeier, Nico Goernitz, Feiyu Xu
In relation extraction, a key process is to obtain good detectors that find relevant sentences describing the target relation.
no code implementations • LREC 2016 • Aleks Gabryszak, ra, Sebastian Krause, Leonhard Hennig, Feiyu Xu, Hans Uszkoreit
Recent research shows the importance of linking linguistic knowledge resources for the creation of large-scale linguistic data.
no code implementations • LREC 2016 • Kathrin Eichler, Feiyu Xu, Hans Uszkoreit, Leonhard Hennig, Sebastian Krause
Some express a relation that entails the target relation.
1 code implementation • LREC 2016 • Bettina Klimek, Natanael Arndt, Sebastian Krause, Timotheus Arndt
It will be shown how segmented Hebrew language data can be granularly described in a Linked Data format, thus, serving as an exemplary case for creating morpheme inventories of any inflectional language with MMoOn.
no code implementations • LREC 2014 • Hong Li, Sebastian Krause, Feiyu Xu, Hans Uszkoreit, Robert Hummel, Veselina Mironova
The current corpus is already in active use in our research for evaluation of the relation extraction performance of our automatically learned extraction patterns.
no code implementations • LREC 2014 • Sebastian Krause, Hong Li, Feiyu Xu, Hans Uszkoreit, Robert Hummel, Luise Spielhagen
In this paper, we present a novel combination of two types of language resources dedicated to the detection of relevant relations (RE) such as events or facts across sentence boundaries.