no code implementations • SIGUL (LREC) 2022 • Ronny Mabokela, Tim Schlippe
We will release the dataset and sentiment lexicons to the research communities to advance the NLP research of under-resourced languages.
no code implementations • SIGUL (LREC) 2022 • Ochilbek Rakhmanov, Tim Schlippe
Using our stemming algorithm in the pre-processing even improved the best model resulting in 97. 4% accuracy on HESAC.
no code implementations • 19 Mar 2024 • Daniel Lakey, Tim Schlippe
In conclusion, the choice of deep learning architecture for spacecraft anomaly detection is highly contingent on the nature of the data, the type of anomalies, and operational constraints.
no code implementations • 8 Dec 2023 • Kristina Schaaff, Tim Schlippe, Lorenz Mindner
For the detection of AI-generated text, the combination of all proposed features performs best, indicating that our features are portable to other related languages: The F1-scores are close with 99% for Spanish, 98% for English, 97% for German and 95% for French.
no code implementations • 10 Aug 2023 • Lorenz Mindner, Tim Schlippe, Kristina Schaaff
Since we found that classification is more difficult when the AI has been instructed to create the text in a way that a human would not recognize that it was generated by an AI, we also investigate this more advanced case.
no code implementations • 7 Aug 2023 • Kristina Schaaff, Caroline Reinig, Tim Schlippe
Empathy is often understood as the ability to share and understand another individual's state of mind or emotion.
no code implementations • 10 Dec 2021 • Juan Ciro, Daniel Galvez, Tim Schlippe, David Kanter
This paper illustrates locality sensitive hasing (LSH) models for the identification and removal of nearly redundant data in a text dataset.
no code implementations • LREC 2014 • Tanja Schultz, Tim Schlippe
This paper describes the advances in the multilingual text and speech database GlobalPhone, a multilingual database of high-quality read speech with corresponding transcriptions and pronunciation dictionaries in 20 languages.