Search Results for author: Tim Schlippe

Found 8 papers, 0 papers with code

A Sentiment Corpus for South African Under-Resourced Languages in a Multilingual Context

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.

Sentiment Analysis

Sentiment Analysis for Hausa: Classifying Students’ Comments

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.

Sentiment Analysis

A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection

no code implementations19 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.

Anomaly Detection Computational Efficiency

Classification of Human- and AI-Generated Texts for English, French, German, and Spanish

no code implementations8 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.

Classification of Human- and AI-Generated Texts: Investigating Features for ChatGPT

no code implementations10 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.

Exploring ChatGPT's Empathic Abilities

no code implementations7 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.

Chatbot

LSH methods for data deduplication in a Wikipedia artificial dataset

no code implementations10 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.

GlobalPhone: Pronunciation Dictionaries in 20 Languages

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.

Language Identification Language Modelling +4

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