Heike Adel

Orcid: 0000-0003-2787-0084

Affiliations:
  • Bosch Center for Artificial Intelligence, Renningen, Germany
  • Universität Stuttgart, Institut für Maschinelle Sprachverarbeitung, germany (former)


According to our database1, Heike Adel authored at least 67 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Rules from KGs Guided by Language Models.
CoRR, 2024

Learn it or Leave it: Module Composition and Pruning for Continual Learning.
CoRR, 2024

SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Rehearsal-Free Modular and Compositional Continual Learning for Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
How to do human evaluation: A brief introduction to user studies in NLP.
Nat. Lang. Eng., September, 2023

NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

GradSim: Gradient-Based Language Grouping for Effective Multilingual Training.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multilingual Normalization of Temporal Expressions with Masked Language Models.
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.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Neighboring Words Affect Human Interpretation of Saliency Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
How (Not) To Evaluate Explanation Quality.
CoRR, 2022

<i>CLIN-X</i>: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain.
Bioinform., 2022

A Study on Entity Linking Across Domains": " Which Data is Best for Fine-Tuning?
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Human Interpretation of Saliency-based Explanation Over Text.
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.
CoRR, 2021

Thought Flow Nets: From Single Predictions to Trains of Model Thought.
CoRR, 2021

Enriched Attention for Robust Relation Extraction.
CoRR, 2021

Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting.
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.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Frontmatter.
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.
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.
Nat. Lang. Eng., 2020

Adversarial Learning of Feature-based Meta-Embeddings.
CoRR, 2020

NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction.
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.
Proceedings of the Semantic Web - ISWC 2020, 2020

Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

On the Choice of Auxiliary Languages for Improved Sequence Tagging.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation.
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.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Analysis of Simple Data Augmentation for Named Entity Recognition.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain.
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.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Type-aware Convolutional Neural Networks for Slot Filling.
J. Artif. Intell. Res., 2019

NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification.
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.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Adversarial Training for Satire Detection: Controlling for Confounding Variables.
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.
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.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection.
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

2018
Deep learning methods for knowledge base population.
PhD thesis, 2018

Corpus-Level Fine-Grained Entity Typing.
J. Artif. Intell. Res., 2018

Adversarial Neural Networks for Cross-lingual Sequence Tagging.
CoRR, 2018

DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017
Impact of Coreference Resolution on Slot Filling.
CoRR, 2017

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Noise Mitigation for Neural Entity Typing and Relation Extraction.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Exploring Different Dimensions of Attention for Uncertainty Detection.
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.
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.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016
Combining Recurrent and Convolutional Neural Networks for Relation Classification.
Proceedings of the NAACL HLT 2016, 2016

Comparing Convolutional Neural Networks to Traditional Models for Slot Filling.
Proceedings of the NAACL HLT 2016, 2016

Bi-directional recurrent neural network with ranking loss for spoken language understanding.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Syntactic and Semantic Features For Code-Switching Factored Language Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling.
Proceedings of the 2015 Text Analysis Conference, 2015

2014
Features for factored language models for code-Switching speech.
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.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Using Mined Coreference Chains as a Resource for a Semantic Task.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
An Investigation of Code-Switching Attitude Dependent Language Modeling.
Proceedings of the Statistical Language and Speech Processing, 2013

Recurrent neural network language modeling for code switching conversational speech.
Proceedings of the IEEE International Conference on Acoustics, 2013

Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013


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