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Found 6 papers, 4 papers with code
TUM Social Computing at GermEval 2022: Towards the Significance of Text Statistics and Neural Embeddings in Text Complexity Prediction
In this paper, we describe our submission to the GermEval 2022 Shared Task on Text Complexity Assessment of German Text.
Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?
Text simplification seeks to improve readability while retaining the original content and meaning.
This is not correct! Negation-aware Evaluation of Language Generation Systems
Based on this dataset, we fine-tuned a sentence transformer and an evaluation metric to improve their negation sensitivity.
Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training
Moreover, with the style-specific pre-training, we reduced the number of trainable parameters in text simplification models.
Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment Analysis
Then, the pipeline uses image retrieval to find all images showing similar content and applies aspect-based sentiment analysis to outline users' opinions about the selected term.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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An Analysis of Programming Course Evaluations Before and After the Introduction of an Autograder
Commonly, introductory programming courses in higher education institutions have hundreds of participating students eager to learn to program.
