Gerold Hintz


Text Editing by Command
Felix Faltings | Michel Galley | Gerold Hintz | Chris Brockett | Chris Quirk | Jianfeng Gao | Bill Dolan
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

A prevailing paradigm in neural text generation is one-shot generation, where text is produced in a single step. The one-shot setting is inadequate, however, when the constraints the user wishes to impose on the generated text are dynamic, especially when authoring longer documents. We address this limitation with an interactive text generation setting in which the user interacts with the system by issuing commands to edit existing text. To this end, we propose a novel text editing task, and introduce WikiDocEdits, a dataset of single-sentence edits crawled from Wikipedia. We show that our Interactive Editor, a transformer-based model trained on this dataset, outperforms baselines and obtains positive results in both automatic and human evaluations. We present empirical and qualitative analyses of this model’s performance.


Data-driven Paraphrasing and Stylistic Harmonization
Gerold Hintz
Proceedings of the NAACL Student Research Workshop

EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres
Steffen Remus | Gerold Hintz | Chris Biemann | Christian M. Meyer | Darina Benikova | Judith Eckle-Kohler | Margot Mieskes | Thomas Arnold
Proceedings of the 10th Web as Corpus Workshop

Language Transfer Learning for Supervised Lexical Substitution
Gerold Hintz | Chris Biemann
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


Leveraging Crowdsourcing for Paraphrase Recognition
Martin Tschirsich | Gerold Hintz
Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse