Heike Adel
Scholar

Heike Adel

Google Scholar ID: Fejbq9kAAAAJ
Hochschule der Medien (university of applied sciences)
Information ExtractionKnowledge Base PopulationNatural language processingLanguage modeling
Citations & Impact
All-time
Citations
2,161
 
H-index
22
 
i10-index
40
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Paper 'Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models' received the SAC Highlights Award at ACL 2025.
  • Paper 'Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts' received the Best Resource Paper Award at GenAIDetect Workshop 2025.
  • Serves as Action Editor for TACL (Transactions of the Association for Computational Linguistics).
  • Serves as Action Editor for ACL Rolling Review (ARR) in 2024 and 2025.
  • Senior Program Committee Member at AAAI 2023, 2024, and 2025.
  • Area Chair for EMNLP 2023 and ACL 2023 (Machine Learning track).
  • Area Chair for Semantics at NAACL 2021; Demo Chair at EMNLP 2021.
  • Top-ranked in the AfriSenti SemEval 2023 shared task on sentiment analysis for African languages.
  • Won the MEDDOPROF 2021 shared task on Spanish profession name extraction.
  • Won the MEDDOCAN 2019 shared task on Spanish document anonymization.
  • Appointed Professor for AI for Audiovisual Media at Hochschule der Medien in 2023.
Background
  • Research interests lie in machine learning methods for natural language processing (NLP), particularly deep learning.
  • Focuses on enhancing model robustness (e.g., in low-resource scenarios) and explainability.
  • Key application areas include audiovisual media creation and analysis, such as multimodal large language models, image generation, and audio generation.
  • Past application areas include speech recognition, information extraction for knowledge graph population, and multimodal scientific text mining.
  • Currently co-supervising two PhD theses: one on transfer learning and continual learning for low-resource and multilingual NLP, and another on NLP beyond sentences with a focus on table question answering.