Andreas Dengel
6 papers in the PaperMetrix corpus
Papers by this author
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A Hybrid Approach and Unified Framework for Bibliographic Reference Extraction
2020 · IEEE Access
Publications are an integral part of a scientific community. Bibliographic reference extraction from scientific publication is a challenging task due to diversity in referencing styles and document layout. Existing methods perform sufficiently on one dataset …
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ANP-W2V: Effects of Composition Methods for Embedding Adjective-Noun Pairs
2021
Adjective-Noun Pairs (ANPs) are often used for affective computing in textual and visual domains. Due to the training cost of more current models (e.g., transformers) many approaches still rely on Word2Vec to compute ANP embeddings …
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Experience is the Best Teacher: Personalized Vocabulary Building Within the Context of Instagram Posts and Sentences from GPT-3
2022
Although language learners have different contexts and motivations, sensing personal backgrounds to optimize learning materials has still been challenging. By focusing on the huge movement of Social Networking Services (SNS) such as Instagram, we came …
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EnML: Multi-label Ensemble Learning for Urdu Text Classification
2023 · ACM Transactions on Asian and Low-Resource Language Information Processing
Exponential growth of electronic data requires advanced multi-label classification approaches for the development of natural language processing (NLP) applications such as recommendation systems, drug reaction detection, hate speech detection, and opinion recognition/mining. To date, several …
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TKG-DM: Training-free Chroma Key Content Generation Diffusion Model
2025
Diffusion models have enabled the generation of high-quality images with a strong focus on realism and textual fidelity. Yet, large-scale text-to-image models, such as Stable Diffusion, struggle to generate images where foreground objects are placed …
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LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations
2025 · arXiv (Cornell University)
Video-based AI systems are increasingly adopted in safety-critical domains such as autonomous driving and healthcare. However, interpreting their decisions remains challenging due to the inherent spatiotemporal complexity of video data and the opacity of deep …