Search Results for author: Sebastian Krause

Found 17 papers, 4 papers with code

Text Generation with Text-Editing Models

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.

Grammatical Error Correction Style Transfer +1

A Simple Recipe for Multilingual Grammatical Error Correction

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)

Grammatical Error Correction

Generating Pattern-Based Entailment Graphs for Relation Extraction

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.

Knowledge Base Population Natural Language Inference +1

Automatic Prediction of Discourse Connectives

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.

SynsetRank: Degree-adjusted Random Walk for Relation Identification

no code implementations2 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.

Relation Extraction

Creating Linked Data Morphological Language Resources with MMoOn - The Hebrew Morpheme Inventory

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.

Annotating Relation Mentions in Tabloid Press

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.

Relation Extraction

Language Resources and Annotation Tools for Cross-Sentence Relation Extraction

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.

Coreference Resolution Dependency Parsing +1

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