Zobrazeno 1 - 10
of 381
pro vyhledávání: '"Schmitt, Martin"'
Autor:
Ghosh, Rikhiya, Farri, Oladimeji, von Stockhausen, Hans-Martin, Schmitt, Martin, Vasile, George Marica
The healthcare industry is currently experiencing an unprecedented wave of cybersecurity attacks, impacting millions of individuals. With the discovery of thousands of vulnerabilities each month, there is a pressing need to drive the automation of vu
Externí odkaz:
http://arxiv.org/abs/2407.14640
The practical success of much of NLP depends on the availability of training data. However, in real-world scenarios, training data is often scarce, not least because many application domains are restricted and specific. In this work, we compare diffe
Externí odkaz:
http://arxiv.org/abs/2203.16926
We investigate the incorporation of visual relationships into the task of supervised image caption generation by proposing a model that leverages detected objects and auto-generated visual relationships to describe images in natural language. To do s
Externí odkaz:
http://arxiv.org/abs/2109.11398
Autor:
Schmitt, Martin, Schütze, Hinrich
Combining a pretrained language model (PLM) with textual patterns has been shown to help in both zero- and few-shot settings. For zero-shot performance, it makes sense to design patterns that closely resemble the text seen during self-supervised pret
Externí odkaz:
http://arxiv.org/abs/2109.03695
Creating datasets manually by human annotators is a laborious task that can lead to biased and inhomogeneous labels. We propose a flexible, semi-automatic framework for labeling data for relation extraction. Furthermore, we provide a dataset of prepr
Externí odkaz:
http://arxiv.org/abs/2109.02050
Autor:
Brousse, Susie, Lafond, Clémentine, Schmitt, Martin, Guillermet, Sophie, Molière, Sébastien, Mathelin, Carole
Publikováno v:
In Gynécologie Obstétrique Fertilité & Sénologie March 2024 52(3):132-141
Autor:
Mathelin, Carole, Brousse, Susie, Schmitt, Martin, Taris, Nicolas, Uzan, Catherine, Molière, Sébastien, Vaysse, Charlotte
Publikováno v:
In Gynécologie Obstétrique Fertilité & Sénologie March 2024 52(3):125-131
Transformers are arguably the main workhorse in recent Natural Language Processing research. By definition a Transformer is invariant with respect to reordering of the input. However, language is inherently sequential and word order is essential to t
Externí odkaz:
http://arxiv.org/abs/2102.11090