Search Results for author: Tilman Beck

Found 5 papers, 5 papers with code

AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters

1 code implementation ACL 2022 Tilman Beck, Bela Bohlender, Christina Viehmann, Vincent Hane, Yanik Adamson, Jaber Khuri, Jonas Brossmann, Jonas Pfeiffer, Iryna Gurevych

The open-access dissemination of pretrained language models through online repositories has led to a democratization of state-of-the-art natural language processing (NLP) research.

Few-Shot Learning Natural Language Processing +2

Investigating label suggestions for opinion mining in German Covid-19 social media

1 code implementation ACL 2021 Tilman Beck, Ji-Ung Lee, Christina Viehmann, Marcus Maurer, Oliver Quiring, Iryna Gurevych

This work investigates the use of interactively updated label suggestions to improve upon the efficiency of gathering annotations on the task of opinion mining in German Covid-19 social media data.

Opinion Mining Transfer Learning

AdapterDrop: On the Efficiency of Adapters in Transformers

1 code implementation EMNLP 2021 Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych

Massively pre-trained transformer models are computationally expensive to fine-tune, slow for inference, and have large storage requirements.

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