Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling. - Heike Adel; Ngoc Thang Vu; Tanja Schultz (ACL (2), 2013)

Recurrent neural network language modeling for code switching conversational speech. - Heike Adel; Ngoc Thang Vu; Franziska Kraus; Tim Schlippe; Haizhou Li 001; Tanja Schultz (ICASSP, 2013)

An Investigation of Code-Switching Attitude Dependent Language Modeling. - Ngoc Thang Vu; Heike Adel; Tanja Schultz (SLSP, 2013)

Using Mined Coreference Chains as a Resource for a Semantic Task. - Heike Adel; Hinrich Schütze (EMNLP, 2014)

Comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding. - Heike Adel; Katrin Kirchhoff; Ngoc Thang Vu; Dominic Telaar; Tanja Schultz (INTERSPEECH, 2014)

Combining recurrent neural networks and factored language models during decoding of code-Switching speech. - Heike Adel; Dominic Telaar; Ngoc Thang Vu; Katrin Kirchhoff; Tanja Schultz (INTERSPEECH, 2014)

Features for factored language models for code-Switching speech. - Heike Adel; Katrin Kirchhoff; Dominic Telaar; Ngoc Thang Vu; Tim Schlippe; Tanja Schultz (SLTU, 2014)

CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling. - Heike Adel; Hinrich Schütze (TAC, 2015)

Syntactic and Semantic Features For Code-Switching Factored Language Models. - Heike Adel; Ngoc Thang Vu; Katrin Kirchhoff; Dominic Telaar; Tanja Schultz (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Bi-directional recurrent neural network with ranking loss for spoken language understanding. - Ngoc Thang Vu; Pankaj Gupta 003; Heike Adel; Hinrich Schütze (ICASSP, 2016)

Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. - Heike Adel; Benjamin Roth 001; Hinrich Schütze (HLT-NAACL, 2016)

Combining Recurrent and Convolutional Neural Networks for Relation Classification. - Ngoc Thang Vu; Heike Adel; Pankaj Gupta 003; Hinrich Schütze (HLT-NAACL, 2016)

Overview of Character-Based Models for Natural Language Processing. - Heike Adel; Ehsaneddin Asgari; Hinrich Schütze (CICLing (1), 2017)

Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data. - Heike Adel; Francine Chen 001; Yan-Ying Chen (EACL (2), 2017)

Exploring Different Dimensions of Attention for Uncertainty Detection. - Heike Adel; Hinrich Schütze (EACL (1), 2017)

Noise Mitigation for Neural Entity Typing and Relation Extraction. - Yadollah Yaghoobzadeh; Heike Adel; Hinrich Schütze (EACL (1), 2017)

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification. - Heike Adel; Hinrich Schütze (EMNLP, 2017)

Impact of Coreference Resolution on Slot Filling. - Heike Adel; Hinrich Schütze (CoRR, 2017)

DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction. - Heike Adel; Laura Ana Maria Bostan; Sean Papay; Sebastian Padó; Roman Klinger (EMNLP (Demonstration), 2018)

Adversarial Neural Networks for Cross-lingual Sequence Tagging. - Heike Adel; Anton Bryl; David Weiss 001; Aliaksei Severyn (CoRR, 2018)

Corpus-Level Fine-Grained Entity Typing. - Yadollah Yaghoobzadeh; Heike Adel; Hinrich Schütze (J. Artif. Intell. Res., 2018)

Deep learning methods for knowledge base population. - Heike Adel (2018)

NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection. - Lukas Lange; Heike Adel; Jannik Strötgen (BioNLP-OST@EMNLP-IJNCLP, 2019)

Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience. - Katrin Angerbauer; Heike Adel; Ngoc Thang Vu (INTERSPEECH, 2019)

Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. - Apostolos Kemos; Heike Adel; Hinrich Schütze (NAACL-HLT (1), 2019)

Adversarial Training for Satire Detection: Controlling for Confounding Variables. - Robert McHardy; Heike Adel; Roman Klinger (NAACL-HLT (1), 2019)

Towards the Bosch Materials Science Knowledge Base. - Jannik Strötgen; Trung-Kien Tran; Annemarie Friedrich; Dragan Milchevski; Federico Tomazic; Anika Marusczyk; Heike Adel; Daria Stepanova 001; Felix Hildebrand; Evgeny Kharlamov (ISWC (Satellites), 2019)

NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. - Lukas Lange; Heike Adel; Jannik Strötgen (IberLEF@SEPLN, 2019)

Type-aware Convolutional Neural Networks for Slot Filling. - Heike Adel; Hinrich Schütze (J. Artif. Intell. Res., 2019)

The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain. - Annemarie Friedrich; Heike Adel; Federico Tomazic; Johannes Hingerl; Renou Benteau; Anika Marusczyk; Lukas Lange (ACL, 2020)

Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. - Lukas Lange; Heike Adel; Jannik Strötgen (ACL, 2020)

An Analysis of Simple Data Augmentation for Named Entity Recognition. - Xiang Dai; Heike Adel (COLING, 2020)

F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering. - Hendrik Schuff; Heike Adel; Ngoc Thang Vu (EMNLP (1), 2020)

ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation. - Hanna Wecker; Annemarie Friedrich; Heike Adel (Eval4NLP, 2020)

On the Choice of Auxiliary Languages for Improved Sequence Tagging. - Lukas Lange; Heike Adel; Jannik Strötgen (RepL4NLP@ACL, 2020)

Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. - Lukas Lange; Anastasiia Iurshina; Heike Adel; Jannik Strötgen (RepL4NLP@ACL, 2020)

ExCut: Explainable Embedding-Based Clustering over Knowledge Graphs. - Mohamed H. Gad-Elrab; Daria Stepanova 001; Trung-Kien Tran; Heike Adel; Gerhard Weikum (ISWC (1), 2020)

NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. - Lukas Lange; Xiang Dai; Heike Adel; Jannik Strötgen (IberLEF@SEPLN, 2020)

Adversarial Learning of Feature-based Meta-Embeddings. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (CoRR, 2020)

Tackling challenges of neural purchase stage identification from imbalanced twitter data. - Heike Adel; Francine Chen 001; Yan-Ying Chen (Nat. Lang. Eng., 2020)

Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings. - Hendrik Schuff; Hsiu-Yu Yang; Heike Adel; Ngoc Thang Vu (BlackboxNLP@EMNLP, 2021)

Frontmatter. - Heike Adel; Shuming Shi 001 (EMNLP (Demos), 2021)

FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (EMNLP (1), 2021)

To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. - Lukas Lange; Jannik Strötgen; Heike Adel; Dietrich Klakow (EMNLP (1), 2021)

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. - Michael A. Hedderich; Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (NAACL-HLT, 2021)

Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. - Lukas Lange; Heike Adel; Jannik Strötgen (IberLEF@SEPLN, 2021)

Enriched Attention for Robust Relation Extraction. - Heike Adel; Jannik Strötgen (CoRR, 2021)

Thought Flow Nets: From Single Predictions to Trains of Model Thought. - Hendrik Schuff; Heike Adel; Ngoc Thang Vu (CoRR, 2021)

CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (CoRR, 2021)

Human Interpretation of Saliency-based Explanation Over Text. - Hendrik Schuff; Alon Jacovi; Heike Adel; Yoav Goldberg; Ngoc Thang Vu (FAccT, 2022)

A Study on Entity Linking Across Domains": " Which Data is Best for Fine-Tuning? - Hassan Soliman; Heike Adel; Mohamed H. Gad-Elrab; Dragan Milchevski; Jannik Strötgen (RepL4NLP@ACL, 2022)

CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. - Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (Bioinform., 2022)

How (Not) To Evaluate Explanation Quality. - Hendrik Schuff; Heike Adel; Peng Qi; Ngoc Thang Vu (CoRR, 2022)

Neighboring Words Affect Human Interpretation of Saliency Explanations. - Alon Jacovi; Hendrik Schuff; Heike Adel; Ngoc Thang Vu; Yoav Goldberg (ACL (Findings), 2023)

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. - Koustava Goswami; Lukas Lange; Jun Araki; Heike Adel (EACL, 2023)

Multilingual Normalization of Temporal Expressions with Masked Language Models. - Lukas Lange; Jannik Strötgen; Heike Adel; Dietrich Klakow (EACL, 2023)

Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text. - Sophie Henning; Talita Anthonio; Wei Zhou; Heike Adel; Mohsen Mesgar; Annemarie Friedrich (EMNLP (Findings), 2023)

GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (EMNLP, 2023)

NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (SemEval@ACL, 2023)

How to do human evaluation: A brief introduction to user studies in NLP. - Hendrik Schuff; Lindsey Vanderlyn; Heike Adel; Ngoc Thang Vu (Nat. Lang. Eng., 2023)

Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings. - Wei Zhou; Heike Adel; Hendrik Schuff; Ngoc Thang Vu (LREC/COLING, 2024)

Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization. - Mingyang Wang 003; Lukas Lange; Heike Adel; Jannik Strötgen; Hinrich Schütze (EMNLP (Findings), 2024)

Rehearsal-Free Modular and Compositional Continual Learning for Language Models. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (NAACL (Short Papers), 2024)

FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. - Wei Zhou; Mohsen Mesgar; Heike Adel; Annemarie Friedrich (NAACL-HLT, 2024)

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

Learn it or Leave it: Module Composition and Pruning for Continual Learning. - Mingyang Wang 003; Heike Adel; Lukas Lange; Jannik Strötgen; Hinrich Schütze (CoRR, 2024)

Learning Rules from KGs Guided by Language Models. - Zihang Peng; Daria Stepanova 001; Vinh Thinh Ho; Heike Adel; Alessandra Russo; Simon Ott (CoRR, 2024)

Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models. - Mingyang Wang 003; Heike Adel; Lukas Lange; Yihong Liu 001; Ercong Nie; Jannik Strötgen; Hinrich Schütze (ACL (1), 2025)

Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering. - Wei Zhou; Mohsen Mesgar; Heike Adel; Annemarie Friedrich (ACL (Findings), 2025)

Human vs. AI: A Novel Benchmark and a Comparative Study on the Detection of Generated Images and the Impact of Prompts. - Philipp Moeßner; Heike Adel (COLING Workshops, 2025)

Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering. - Wei Zhou; Mohsen Mesgar; Annemarie Friedrich; Heike Adel (NAACL (Findings), 2025)

Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion. - Mingyang Wang 003; Alisa Stoll; Lukas Lange; Heike Adel; Hinrich Schütze; Jannik Strötgen (CoRR, 2025)

Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes. - Mingyang Wang 003; Lukas Lange; Heike Adel; Yunpu Ma; Jannik Strötgen; Hinrich Schütze (CoRR, 2025)

PPT: A Process-based Preference Learning Framework for Self Improving Table Question Answering Models. - Wei Zhou; Mohsen Mesgar; Heike Adel; Annemarie Friedrich (CoRR, 2025)