Detecting formal thought disorder by deep contextualized word representations.
By Justyna Sarzyńska-Wawer, Aleksander Wawer, Aleksandra Pawlak, Julia Szymanowska, I. Stefaniak, M. Jarkiewicz, L. Okruszek. Psychiatry Research, 2021
361 citations recorded by the source corpus.
Subfields: Clinical Psychology, Cognitive Neuroscience, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/c991e997da8f7bdaa3d82779c29b65d73d448e09
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Trevor Darrell
- Alexei A. Efros
- Andrew Zisserman
- Kristen Grauman
- Antonio Torralba
- Ishan Misra
- Longlong Jing
- Yingli Tian
Citations in the corpus
- Visual Prompting via Image Inpainting (2022, background): “With the recent success of large unsupervised language models [44, 12], Brown et al. [5] presented how a variety of NLP problems can be reformulated to a text completion problem given a predefined prompt, which can be used to solve different tasks without any finetuning.”
- GPT-NER: Named Entity Recognition via Large Language Models (2023, background): “Sarzynska-Wawer et al. (2021) improved the quality of each word via a large-scale pre-training model.”