Heike Adel

According to our database, Heike Adel authored at least 62 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings.

Wei Zhou, Heike Adel, Hendrik Schuff, Ngoc Thang Vu

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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., September, 2023

NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis.

Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

GradSim: Gradient-Based Language Grouping for Effective Multilingual Training.

Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multilingual Normalization of Temporal Expressions with Masked Language Models.

Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains.

Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Neighboring Words Affect Human Interpretation of Saliency Explanations.

Alon Jacovi, Hendrik Schuff, Heike Adel, Ngoc Thang Vu, Yoav Goldberg

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

How (Not) To Evaluate Explanation Quality.

Hendrik Schuff, Heike Adel, Peng Qi, Ngoc Thang Vu

CoRR, 2022

<i>CLIN-X</i>: 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

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

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Human Interpretation of Saliency-based Explanation Over Text.

Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

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

Thought Flow Nets: From Single Predictions to Trains of Model Thought.

Hendrik Schuff, Heike Adel, Ngoc Thang Vu

CoRR, 2021

Enriched Attention for Robust Relation Extraction.

Heike Adel, Jannik Strötgen

CoRR, 2021

Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting.

Lukas Lange, Heike Adel, Jannik Strötgen

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning.

Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations.

Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Frontmatter.

Heike Adel, Shuming Shi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings.

Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, Ngoc Thang Vu

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

Tackling challenges of neural purchase stage identification from imbalanced twitter data.

Heike Adel, Francine Chen, Yan-Ying Chen

Nat. Lang. Eng., 2020

Adversarial Learning of Feature-based Meta-Embeddings.

Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow

CoRR, 2020

NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction.

Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

ExCut: Explainable Embedding-Based Clustering over Knowledge Graphs.

Mohamed H. Gad-Elrab, Daria Stepanova, Trung-Kien Tran, Heike Adel, Gerhard Weikum

Proceedings of the Semantic Web - ISWC 2020, 2020

Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text.

Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

On the Choice of Auxiliary Languages for Improved Sequence Tagging.

Lukas Lange, Heike Adel, Jannik Strötgen

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation.

Hanna Wecker, Annemarie Friedrich, Heike Adel

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering.

Hendrik Schuff, Heike Adel, Ngoc Thang Vu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Analysis of Simple Data Augmentation for Named Entity Recognition.

Xiang Dai, Heike Adel

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain.

Lukas Lange, Heike Adel, Jannik Strötgen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Type-aware Convolutional Neural Networks for Slot Filling.

Heike Adel, Hinrich Schütze

J. Artif. Intell. Res., 2019

NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification.

Lukas Lange, Heike Adel, Jannik Strötgen

Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 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, Felix Hildebrand, Evgeny Kharlamov

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Adversarial Training for Satire Detection: Controlling for Confounding Variables.

Robert McHardy, Heike Adel, Roman Klinger

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging.

Apostolos Kemos, Heike Adel, Hinrich Schütze

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience.

Katrin Angerbauer, Heike Adel, Ngoc Thang Vu

Proceedings of the Interspeech 2019, 2019

NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection.

Lukas Lange, Heike Adel, Jannik Strötgen

Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

2018

Deep learning methods for knowledge base population.

Heike Adel

PhD thesis, 2018

Corpus-Level Fine-Grained Entity Typing.

Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze

J. Artif. Intell. Res., 2018

Adversarial Neural Networks for Cross-lingual Sequence Tagging.

Heike Adel, Anton Bryl, David Weiss, Aliaksei Severyn

CoRR, 2018

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017

Impact of Coreference Resolution on Slot Filling.

Heike Adel, Hinrich Schütze

CoRR, 2017

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification.

Heike Adel, Hinrich Schütze

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Noise Mitigation for Neural Entity Typing and Relation Extraction.

Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Exploring Different Dimensions of Attention for Uncertainty Detection.

Heike Adel, Hinrich Schütze

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data.

Heike Adel, Francine Chen, Yan-Ying Chen

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Overview of Character-Based Models for Natural Language Processing.

Heike Adel, Ehsaneddin Asgari, Hinrich Schütze

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016

Combining Recurrent and Convolutional Neural Networks for Relation Classification.

Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze

Proceedings of the NAACL HLT 2016, 2016

Comparing Convolutional Neural Networks to Traditional Models for Slot Filling.

Heike Adel, Benjamin Roth, Hinrich Schütze

Proceedings of the NAACL HLT 2016, 2016

Bi-directional recurrent neural network with ranking loss for spoken language understanding.

Ngoc Thang Vu, Pankaj Gupta, Heike Adel, Hinrich Schütze

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

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

CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling.

Heike Adel, Hinrich Schütze

Proceedings of the 2015 Text Analysis Conference, 2015

2014

Features for factored language models for code-Switching speech.

Heike Adel, Katrin Kirchhoff, Dominic Telaar, Ngoc Thang Vu, Tim Schlippe, Tanja Schultz

Proceedings of the 4th Workshop on Spoken Language Technologies for Under-resourced Languages, 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

Proceedings of the INTERSPEECH 2014, 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

Proceedings of the INTERSPEECH 2014, 2014

Using Mined Coreference Chains as a Resource for a Semantic Task.

Heike Adel, Hinrich Schütze

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

An Investigation of Code-Switching Attitude Dependent Language Modeling.

Ngoc Thang Vu, Heike Adel, Tanja Schultz

Proceedings of the Statistical Language and Speech Processing, 2013

Recurrent neural network language modeling for code switching conversational speech.

Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Haizhou Li, Tanja Schultz

Proceedings of the IEEE International Conference on Acoustics, 2013

Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling.

Heike Adel, Ngoc Thang Vu, Tanja Schultz

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013