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Heike Adel
Person information
- affiliation: Bosch Center for Artificial Intelligence, Renningen, Germany
- affiliation (former): Universität Stuttgart, Institut für Maschinelle Sprachverarbeitung, germany
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2020 – today
- 2024
- [c47]Wei Zhou, Heike Adel, Hendrik Schuff, Ngoc Thang Vu:
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings. LREC/COLING 2024: 6867-6875 - [c46]Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich:
SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain. WACV 2024: 4548-4559 - [i42]Wei Zhou, Heike Adel, Hendrik Schuff, Ngoc Thang Vu:
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings. CoRR abs/2403.05338 (2024) - [i41]Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
Rehearsal-Free Modular and Compositional Continual Learning for Language Models. CoRR abs/2404.00790 (2024) - [i40]Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich:
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. CoRR abs/2404.18585 (2024) - [i39]Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
Learn it or Leave it: Module Composition and Pruning for Continual Learning. CoRR abs/2406.18708 (2024) - 2023
- [j6]Hendrik Schuff, Lindsey Vanderlyn, Heike Adel, Ngoc Thang Vu:
How to do human evaluation: A brief introduction to user studies in NLP. Nat. Lang. Eng. 29(5): 1199-1222 (2023) - [c45]Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu, Yoav Goldberg:
Neighboring Words Affect Human Interpretation of Saliency Explanations. ACL (Findings) 2023: 11816-11833 - [c44]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
Multilingual Normalization of Temporal Expressions with Masked Language Models. EACL 2023: 1166-1178 - [c43]Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel:
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. EACL 2023: 2681-2687 - [c42]Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. EMNLP 2023: 4631-4646 - [c41]Sophie Henning, Talita Anthonio, Wei Zhou, Heike Adel, Mohsen Mesgar, Annemarie Friedrich:
Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text. EMNLP (Findings) 2023: 14229-14241 - [c40]Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis. SemEval@ACL 2023: 488-497 - [i38]Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel:
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. CoRR abs/2302.06868 (2023) - [i37]Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis. CoRR abs/2305.00090 (2023) - [i36]Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu, Yoav Goldberg:
Neighboring Words Affect Human Interpretation of Saliency Explanations. CoRR abs/2305.02679 (2023) - [i35]Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. CoRR abs/2310.15269 (2023) - 2022
- [j5]Lukas Lange
, Heike Adel
, Jannik Strötgen
, Dietrich Klakow
:
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. Bioinform. 38(12): 3267-3274 (2022) - [c39]Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu:
Human Interpretation of Saliency-based Explanation Over Text. FAccT 2022: 611-636 - [c38]Hassan Soliman, Heike Adel, Mohamed H. Gad-Elrab, Dragan Milchevski, Jannik Strötgen:
A Study on Entity Linking Across Domains": " Which Data is Best for Fine-Tuning? RepL4NLP@ACL 2022: 184-190 - [i34]Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu:
Human Interpretation of Saliency-based Explanation Over Text. CoRR abs/2201.11569 (2022) - [i33]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
Multilingual Normalization of Temporal Expressions with Masked Language Models. CoRR abs/2205.10399 (2022) - [i32]Hendrik Schuff, Heike Adel, Peng Qi, Ngoc Thang Vu:
How (Not) To Evaluate Explanation Quality. CoRR abs/2210.07126 (2022) - 2021
- [c37]Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu:
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings. BlackboxNLP@EMNLP 2021: 26-41 - [c36]Heike Adel, Shuming Shi:
Frontmatter. EMNLP (Demos) 2021 - [c35]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. EMNLP (1) 2021: 8382-8395 - [c34]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. EMNLP (1) 2021: 8744-8753 - [c33]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. NAACL-HLT 2021: 2545-2568 - [c32]Lukas Lange, Heike Adel, Jannik Strötgen:
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. IberLEF@SEPLN 2021: 737-746 - [i31]Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow:
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. CoRR abs/2104.08078 (2021) - [i30]Heike Adel, Jannik Strötgen:
Enriched Attention for Robust Relation Extraction. CoRR abs/2104.10899 (2021) - [i29]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
Thought Flow Nets: From Single Predictions to Trains of Model Thought. CoRR abs/2107.12220 (2021) - [i28]Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu:
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings. CoRR abs/2109.07833 (2021) - [i27]Lukas Lange, Heike Adel, Jannik Strötgen:
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. CoRR abs/2109.08597 (2021) - [i26]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. CoRR abs/2112.08754 (2021) - 2020
- [j4]Heike Adel
, Francine Chen, Yan-Ying Chen:
Tackling challenges of neural purchase stage identification from imbalanced twitter data. Nat. Lang. Eng. 26(4): 383-411 (2020) - [c31]Annemarie Friedrich, Heike Adel, Federico Tomazic, Johannes Hingerl
, Renou Benteau, Anika Marusczyk, Lukas Lange:
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain. ACL 2020: 1255-1268 - [c30]Lukas Lange, Heike Adel, Jannik Strötgen:
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. ACL 2020: 6945-6952 - [c29]Xiang Dai
, Heike Adel:
An Analysis of Simple Data Augmentation for Named Entity Recognition. COLING 2020: 3861-3867 - [c28]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering. EMNLP (1) 2020: 7076-7095 - [c27]Hanna Wecker, Annemarie Friedrich, Heike Adel:
ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation. Eval4NLP 2020: 155-163 - [c26]Lukas Lange, Heike Adel, Jannik Strötgen:
On the Choice of Auxiliary Languages for Improved Sequence Tagging. RepL4NLP@ACL 2020: 95-102 - [c25]Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen:
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. RepL4NLP@ACL 2020: 103-109 - [c24]Mohamed H. Gad-Elrab
, Daria Stepanova
, Trung-Kien Tran, Heike Adel
, Gerhard Weikum:
ExCut: Explainable Embedding-Based Clustering over Knowledge Graphs. ISWC (1) 2020: 218-237 - [c23]Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen:
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. IberLEF@SEPLN 2020: 335-346 - [e1]Heike Adel, Shuming Shi:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2021, Online and Punta Cana, Dominican Republic, 7-11 November, 2021. Association for Computational Linguistics 2020 [contents] - [i25]Lukas Lange, Heike Adel, Jannik Strötgen:
On the Choice of Auxiliary Languages for Improved Sequence Tagging. CoRR abs/2005.09389 (2020) - [i24]Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen:
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. CoRR abs/2005.09392 (2020) - [i23]Lukas Lange, Heike Adel, Jannik Strötgen:
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. CoRR abs/2005.09397 (2020) - [i22]Annemarie Friedrich, Heike Adel, Federico Tomazic, Johannes Hingerl, Renou Benteau, Anika Marusczyk, Lukas Lange:
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain. CoRR abs/2006.03039 (2020) - [i21]Lukas Lange, Heike Adel, Jannik Strötgen:
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection. CoRR abs/2007.01022 (2020) - [i20]Lukas Lange, Heike Adel, Jannik Strötgen:
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. CoRR abs/2007.01030 (2020) - [i19]Hendrik Schuff, Heike Adel, Ngoc Thang Vu:
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering. CoRR abs/2010.06283 (2020) - [i18]Xiang Dai, Heike Adel:
An Analysis of Simple Data Augmentation for Named Entity Recognition. CoRR abs/2010.11683 (2020) - [i17]Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
Adversarial Learning of Feature-based Meta-Embeddings. CoRR abs/2010.12305 (2020) - [i16]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. CoRR abs/2010.12309 (2020) - [i15]Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen:
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. CoRR abs/2010.12322 (2020)
2010 – 2019
- 2019
- [j3]Heike Adel, Hinrich Schütze:
Type-aware Convolutional Neural Networks for Slot Filling. J. Artif. Intell. Res. 66: 297-339 (2019) - [c22]Lukas Lange, Heike Adel, Jannik Strötgen:
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection. BioNLP-OST@EMNLP-IJNCLP 2019: 26-32 - [c21]Katrin Angerbauer, Heike Adel, Ngoc Thang Vu:
Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience. INTERSPEECH 2019: 594-598 - [c20]Robert McHardy, Heike Adel, Roman Klinger:
Adversarial Training for Satire Detection: Controlling for Confounding Variables. NAACL-HLT (1) 2019: 660-665 - [c19]Apostolos Kemos, Heike Adel, Hinrich Schütze:
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. NAACL-HLT (1) 2019: 2736-2743 - [c18]Jannik Strötgen, Trung-Kien Tran, Annemarie Friedrich, Dragan Milchevski, Federico Tomazic, Anika Marusczyk, Heike Adel, Daria Stepanova, Felix Hildebrand, Evgeny Kharlamov:
Towards the Bosch Materials Science Knowledge Base. ISWC (Satellites) 2019: 323-324 - [c17]Lukas Lange, Heike Adel, Jannik Strötgen:
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. IberLEF@SEPLN 2019: 671-678 - [i14]Robert McHardy, Heike Adel, Roman Klinger:
Adversarial Training for Satire Detection: Controlling for Confounding Variables. CoRR abs/1902.11145 (2019) - [i13]Heike Adel, Hinrich Schütze:
Type-aware Convolutional Neural Networks for Slot Filling. CoRR abs/1910.00546 (2019) - 2018
- [b1]Heike Adel:
Deep learning methods for knowledge base population. Ludwig Maximilian University of Munich, Germany, 2018 - [j2]Yadollah Yaghoobzadeh
, Heike Adel, Hinrich Schütze:
Corpus-Level Fine-Grained Entity Typing. J. Artif. Intell. Res. 61: 835-862 (2018) - [c16]Heike Adel, Laura Ana Maria Bostan, Sean Papay, Sebastian Padó
, Roman Klinger:
DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction. EMNLP (Demonstration) 2018: 42-47 - [i12]Apostolos Kemos, Heike Adel, Hinrich Schütze:
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging. CoRR abs/1808.04208 (2018) - [i11]Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn:
Adversarial Neural Networks for Cross-lingual Sequence Tagging. CoRR abs/1808.04736 (2018) - [i10]Heike Adel, Hinrich Schütze:
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling. CoRR abs/1811.02230 (2018) - 2017
- [c15]Heike Adel, Ehsaneddin Asgari, Hinrich Schütze:
Overview of Character-Based Models for Natural Language Processing. CICLing (1) 2017: 3-16 - [c14]Heike Adel, Hinrich Schütze:
Exploring Different Dimensions of Attention for Uncertainty Detection. EACL (1) 2017: 22-34 - [c13]Heike Adel, Francine Chen, Yan-Ying Chen:
Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data. EACL (2) 2017: 592-598 - [c12]Yadollah Yaghoobzadeh
, Heike Adel, Hinrich Schütze:
Noise Mitigation for Neural Entity Typing and Relation Extraction. EACL (1) 2017: 1183-1194 - [c11]Heike Adel, Hinrich Schütze:
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification. EMNLP 2017: 1723-1729 - [i9]Heike Adel, Hinrich Schütze:
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification. CoRR abs/1707.07719 (2017) - [i8]Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze:
Corpus-level Fine-grained Entity Typing. CoRR abs/1708.02275 (2017) - [i7]Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar, Tanja Schultz:
Syntactic and Semantic Features For Code-Switching Factored Language Models. CoRR abs/1710.01809 (2017) - [i6]Heike Adel, Hinrich Schütze:
Impact of Coreference Resolution on Slot Filling. CoRR abs/1710.09753 (2017) - 2016
- [c10]Ngoc Thang Vu, Pankaj Gupta, Heike Adel, Hinrich Schütze:
Bi-directional recurrent neural network with ranking loss for spoken language understanding. ICASSP 2016: 6060-6064 - [c9]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. HLT-NAACL 2016: 534-539 - [c8]Heike Adel, Benjamin Roth, Hinrich Schütze:
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. HLT-NAACL 2016: 828-838 - [i5]Heike Adel, Benjamin Roth, Hinrich Schütze:
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. CoRR abs/1603.05157 (2016) - [i4]Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. CoRR abs/1605.07333 (2016) - [i3]Heike Adel, Hinrich Schütze:
Exploring Different Dimensions of Attention for Uncertainty Detection. CoRR abs/1612.06549 (2016) - [i2]Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze:
Noise Mitigation for Neural Entity Typing and Relation Extraction. CoRR abs/1612.07495 (2016) - 2015
- [j1]Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar, Tanja Schultz
:
Syntactic and Semantic Features For Code-Switching Factored Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 431-440 (2015) - [i1]Heike Adel, Hinrich Schütze:
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling. TAC 2015 - 2014
- [c7]Heike Adel, Hinrich Schütze:
Using Mined Coreference Chains as a Resource for a Semantic Task. EMNLP 2014: 1447-1452 - [c6]Heike Adel, Katrin Kirchhoff, Ngoc Thang Vu, Dominic Telaar, Tanja Schultz:
Comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding. INTERSPEECH 2014: 651-655 - [c5]Heike Adel, Dominic Telaar, Ngoc Thang Vu, Katrin Kirchhoff, Tanja Schultz:
Combining recurrent neural networks and factored language models during decoding of code-Switching speech. INTERSPEECH 2014: 1415-1419 - [c4]Heike Adel, Katrin Kirchhoff, Dominic Telaar, Ngoc Thang Vu, Tim Schlippe, Tanja Schultz:
Features for factored language models for code-Switching speech. SLTU 2014: 32-38 - 2013
- [c3]Heike Adel, Ngoc Thang Vu, Tanja Schultz:
Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling. ACL (2) 2013: 206-211 - [c2]Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Haizhou Li
, Tanja Schultz
:
Recurrent neural network language modeling for code switching conversational speech. ICASSP 2013: 8411-8415 - [c1]Ngoc Thang Vu, Heike Adel, Tanja Schultz
:
An Investigation of Code-Switching Attitude Dependent Language Modeling. SLSP 2013: 297-308
Coauthor Index
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