Publications

PhD thesis

• Heike Adel, "Deep Learning Methods for Knowledge Base Population", PhD thesis at LMU Munich 2018. pdf

Journal articles

• Hendrik Schuff, Heike Adel and Ngoc Thang Vu, "Thought flow nets: From single predictions to trains of model thought", in NLP 2024. pdf preprint

• Hendrik Schuff, Lindsey Vanderlyn, Heike Adel and Ngoc Thang Vu, "How to Do Human Evaluation: A Brief Introduction to User Studies in NLP", in NLE 2023, volume 29 , pp. 1199-1222. pdf 

• Lukas Lange, Heike Adel, Jannik Strötgen and Dietrich Klakow, "CLIN-X: Pre-trained Language Models and a Study on Cross-Task Transfer for Concept Extraction in the Clinical Domain", in Bioinformatics  2022. pdf preprint 

• Heike Adel, Francine Chen and Yan-Ying Chen, "Tackling Challenges of Neural Purchase Stage Identification from Imbalanced Twitter Data ", in NLE 2020, volume 26, pp. 383-411. pdf

• Heike Adel and Hinrich Schütze, "Type-aware Convolutional Neural Networks for Slot Filling", in JAIR 2019, volume 66, pp. 297-339. pdf code

• Yadollah Yaghoobzadeh, Heike Adel and Hinrich Schütze, "Corpus-Level Fine-Grained Entity Typing", in JAIR 2018, volume 61, pp. 835-862. pdf 

• Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar and Tanja Schultz, "Syntactic and Semantic Features for Code-Switching Factored Language Models", in TASL 2015, volume 23, pp. 431-440. pdf preprint 

Conference and workshop papers

2025

• Mingyang Wang, Heike Adel, Lukas Lange, Yihong Liu, Ercong Nie, Jannik Strötgen and Hinrich Schütze: "Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models", in ACL 2025. pdf preprint *SAC hightlights award*

• Wei Zhou, Mohsen Mesgar, Heike Adel and Annemarie Friedrich: "Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering", in ACL Findings 2025. pdf preprint 

• Wei Zhou, Mohsen Mesgar, Heike Adel and Annemarie Friedrich: "RITT: A Retrieval-Assisted Framework with Image and Text Table Representations for Table Question Answering", in Table Representation Learning Workshop 2025. pdf 

• Mingyang Wang, Alisa Stoll, Lukas Lange, Heike Adel, Hinrich Schütze and Jannik Strötgen: "Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion", in Workshop on Large Language Model Memorization 2025. pdf preprint 

• Wei Zhou, Mohsen Mesgar, Annemarie Friedrich and Heike Adel, "Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering", in NAACL Findings 2025. pdf preprint 

• Philipp Moeßner and Heike Adel, "Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts", in Workshop on Detecting AI Generated Content 2025. pdf preprint resources *best resource paper award*

2024

• Mingyang Wang, Lukas Lange, Heike Adel, Jannik Strötgen and Hinrich Schütze, "Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization", in Findings of EMNLP 2024. pdf preprint 

• Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen and Hinrich Schütze, "Learn it or leave it: module composition and pruning for continual learning",  in Repl4NLP 2024. pdf preprint

• Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich, "FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering", in NAACL 2024. pdf preprint

• Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen and Hinrich Schütze, "Rehearsal-Free Modular and Compositional Continual Learning for Language Models", in NAACL 2024. pdf preprint

• Wei Zhou, Heike Adel, Hendrik Schuff and Ngoc Thang Vu, "Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings", in Coling 2024. pdf preprint

• Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco and Annemarie Friedrich, "SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain", in WACV 2024. pdf 

2023

• Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen and Hinrich Schütze, "GradSim: Gradient-Based Language Grouping for Effective Multilingual Training", EMNLP 2023. pdf 

• Sophie Henning, Talita Anthonio, Wei Zhou, Heike Adel, Mohsen Mesgar and Annemarie Friedrich, "Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text", EMNLP Findings 2023. pdf 

• Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen and Hinrich Schütze, "NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis", SemEval 2023. pdf *nominated as best system paper*

• Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu and Yoav Goldberg, "Neighboring Words Affect Human Interpretation of Saliency Explanations", in ACL Findings 2023. pdf 

• Koustava Goswami, Lukas Lange, Jun Araki and Heike Adel, "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains", in EACL 2023. preprint 

• Lukas Lange, Jannik Strötgen, Heike Adel and Dietrich Klakow, "Multilingual Normalization of Temporal Expressions with Masked Language Models", in EACL 2023. preprint 

2022

• Hassan Soliman, Heike Adel, Mohamed H. Gad-Elrab, Dragan Milchevski and Jannik Strötgen, "A Study on Entity Linking Across Domains: Which Data is Best for Fine-Tuning?", in Repl4NLP 2022. pdf

• Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg and Ngoc Thang Vu, "Human Interpretation of Saliency-based Explanation Over Text", in FAccT 2022. preprint

2021

• Hendrik Schuff, Hsiu-Yu Yang, Heike Adel and Ngoc Thang Vu, "Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings", in BlackBox NLP 2021. pdf preprint

• Lukas Lange, Jannik Strötgen, Heike Adel and Dietrich Klakow, "To share or not to share: Predicting sets of sources for model transfer learning", in EMNLP 2021. pdf preprint

• Lukas Lange, Heike Adel, Jannik Strötgen and Dietrich Klakow, "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations, in EMNLP 2021. pdf preprint

• Lukas Lange, Heike Adel and Jannik Strötgen, "Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting", in IberLEF 2021. preprint

• Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen and Dietrich Klakow, "A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios", in NAACL 2021. pdf preprint technology.org towardsdatascience.com

2020

• Xiang Dai and Heike Adel, "An Analysis of Simple Data Augmentation for Named Entity Recognition", in Coling 2020. pdf preprint code

• Hendrik Schuff, Heike Adel and Ngoc Thang Vu, "F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering", in EMNLP 2020. pdf preprint

• Hanna Wecker, Annemarie Friedrich and Heike Adel, "ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation", in Workshop on Evaluation and Comparison of NLP Systems 2020. pdf

• Lukas Lange, Xiang Dai, Heike Adel and Jannik Strötgen, "NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction", in IberLEF 2020. pdf preprint

• Mohamed H. Gad-Elrab, Daria Stepanova, Trung-Kien Tran, Heike Adel and Gerhard Weikum, "ExCut: Explainable Embedding-based Clustering over Knowledge Graphs", in ISWC 2020. pdf preprint

• Annemarie Friedrich, Heike Adel, Federico Tomazic, Johannes Hingerl, Renou Benteau, Anika Marusczyk and Lukas Lange, "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain", in ACL 2020. pdf preprint code and resources 

• Lukas Lange, Heike Adel and Jannik Strötgen, "Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain", in ACL 2020. pdf preprint code 

• Lukas Lange, Anastasiia Iurshina, Heike Adel and Jannik Strötgen, "Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text", in Repl4NLP@ACL 2020. pdf preprint

• Lukas Lange, Heike Adel and Jannik Strötgen, "On the Choice of Auxiliary Languages for Improved Sequence Tagging", in Repl4NLP@ACL 2020. pdf preprint

2019

• Lukas Lange, Heike Adel and Jannik Strötgen, "NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection ", in BioNLP Open Shared Tasks  2019. pdf

• Jannik Strötgen, Trung Kien Tran, Annemarie Friedrich, Dragan Milchevski, Federico Tomazic, Anika Marusczyk, Heike Adel, Daria Stepanova, Felix Hildebrand and Evgeny Kharlamov, "Towards the Bosch Materials Science Knowledge Base", in ISWC Satellites 2019. pdf

• Lukas Lange, Heike Adel and Jannik Strötgen, "NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification", in IberLEF 2019. pdf

• Katrin Angerbauer, Heike Adel and Ngoc Thang Vu, "Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience", in InterSpeech 2019. pdf abstract

• Apostolos Kemos, Heike Adel and Hinrich Schütze, "Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging", in NAACL 2019. pdf preprint code resources

• Robert McHardy, Heike Adel and Roman Klinger, "Adversarial Training for Satire Detection: Controlling for Confounding Variables", in NAACL 2019. pdf  preprint code resources

2018

• Heike Adel, Laura Bostan, Sean Papay, Sebastian Padó and Roman Klinger, "DeRE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction", in EMNLP System Demonstrations 2018. pdf code resources

2017

• Heike Adel and Hinrich Schütze, "Impact of Coreference Resolution on Slot Filling", arXiv abs:1710.09753. preprint resources

• Heike Adel and Hinrich Schütze, "Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification", in EMNLP 2017. pdf preprint code resources 

• Heike Adel, Ehsaneddin Asgari and Hinrich Schütze, "Overview of Character-Based Models for Natural Language Processing", in CICLing 2017, LNCS, Springer. pdf

• Hinrich Schütze, Heike Adel and Ehsaneddin Asgari, "Nonsymbolic Text Representation", arXiv abs:1610.00479. preprint 

• Heike Adel, Francine Chen and Yan-Ying Chen, "Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data", in EACL 2017. pdf 

• Heike Adel and Hinrich Schütze, "Exploring Different Dimensions of Attention for Uncertainty Detection", in EACL 2017. pdf preprint code resources 

• Yadollah Yaghoobzadeh*, Heike Adel* and Hinrich Schütze, "Noise Mitigation for Neural Entity Typing and Relation Extraction", in EACL 2017. pdf preprint code resources

2016

• Heike Adel, Benjamin Roth and Hinrich Schütze, "Comparing Convolutional Neural Networks to Traditional Models for Slot Filling", in NAACL 2016. pdf preprint code resources 

• Ngoc Thang Vu, Heike Adel, Pankaj Gupta and Hinrich Schütze, "Combining Recurrent and Convolutional Neural Networks for Relation Classification", in NAACL 2016. pdf preprint 

• Ngoc Thang Vu, Pankaj Gupta, Heike Adel and Hinrich Schütze, "Bi-directional Recurrent Neural Network with Ranking Loss for Spoken Language Understanding", in ICASSP 2016. pdf 

2015

• Heike Adel and Hinrich Schütze, "CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling", in TAC 2015. pdf code

2014

• Heike Adel and Hinrich Schütze, "TAC KBP 2014 Slot Filling Shared Task: Baseline System for Investigating Coreference", in TAC 2014. pdf resources

• Heike Adel and Hinrich Schütze, "Using Mined Coreference Chains as a Resource for a Semantic Task", in EMNLP 2014. pdf poster resources 

• Heike Adel, Dominic Telaar, Ngoc Thang Vu, Katrin Kirchhoff and Tanja Schultz, "Combining Recurrent Neural Networks and Factored Language Models During Decoding of Code-Switching Speech", in Interspeech 2014. pdf 

• Heike Adel, Katrin Kirchhoff, Ngoc Thang Vu, Dominic Telaar and Tanja Schultz, "Comparing Approaches to Convert Recurrent Neural Networks into Backoff Language Models for Efficient Decoding", in Interspeech 2014. pdf 

• Heike Adel, Katrin Kirchhoff, Dominic Telaar, Ngoc Thang Vu, Tim Schlippe and Tanja Schultz, "Features for Factored Language Models for Code-Switching Speech", in SLTU 2014. pdf 

2013

• Heike Adel, Ngoc Thang Vu and Tanja Schultz, "Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling", in ACL 2013. pdf 

• Ngoc Thang Vu, Heike Adel and Tanja Schultz, "An Investigation of Code-Switching Attitude Dependent Language Modeling", in SLSP 2013. pdf 

• Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Haizhou Li and Tanja Schultz, "Recurrent Neural Network Language Modeling for Code-Switching Conversational Speech", in ICASSP 2013. pdf 

2012

• Heike Adel, Kevin Kilgour, Sebastian Stüker, Alex Waibel, "Automatische Zeichensetzung in Spracherkennungssystemen: Entscheidungsbaum und Sprachmodell im Vergleich" ("Automatic Punctuation in Speech Recognition Systems: Comparing Decision Trees and Language Models"), in ESSV 2012. pdf 

Preprints

• Mingyang Wang, Alisa Stoll, Lukas Lange, Heike Adel, Hinrich Schütze and Jannik Strötgen, "Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion", 2025. preprint

• Zihang Peng, Daria Stepanova, Vinh Thinh Ho, Heike Adel, Alessandra Russo, Simon Ott, "Learning Rules from KGs Guided by Language Models", 2024. preprint 

• Hendrik Schuff, Heike Adel, Peng Qi and Ngoc Thang Vu, "How (Not) To Evaluate Explanation Quality", 2022. preprint 

• Heike Adel and Jannik Strötgen, "Enriched Attention for Robust Relation Extraction", 2021. preprint

• Heike Adel, Anton Bryl, David Weiss and Aliaksei Severyn, "Adversarial Neural Networks for Cross-lingual Sequence Tagging", 2018. preprint

• Heike Adel and Hinrich Schütze, "Impact of Coreference Resolution on Slot Filling", 2017. preprint

• Hinrich Schuetze, Heike Adel and Ehsaneddin Asgari, "Nonsymbolic Text Representation", 2016. preprint