MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain

1 code implementation • 5 Jul 2023 • Timo Pierre Schrader, Teresa Bürkle, Sophie Henning, Sherry Tan, Matteo Finco, Stefan Grünewald, Maira Indrikova, Felix Hildebrand, Annemarie Friedrich

We present and release a new dataset of 50 manually annotated research articles.

Sentence

MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text

1 code implementation • 14 Dec 2022 • Sophie Henning, Nicole Macher, Stefan Grünewald, Annemarie Friedrich

Modal verbs (e. g., "can", "should", or "must") occur highly frequently in scientific articles.

A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing

no code implementations • 10 Oct 2022 • Sophie Henning, William Beluch, Alexander Fraser, Annemarie Friedrich

With this survey, the first overview on class imbalance in deep-learning based NLP, we provide guidance for NLP researchers and practitioners dealing with imbalanced data.

Benchmarking Data Augmentation

Generalized chart constraints for efficient PCFG and TAG parsing

no code implementations • ACL 2018 • Stefan Grünewald, Sophie Henning, Alexander Koller

Chart constraints, which specify at which string positions a constituent may begin or end, have been shown to speed up chart parsers for PCFGs.

TAG