Heike Adel
Orcid: 0000-0003-2787-0084Affiliations:
- Bosch Center for Artificial Intelligence, Renningen, Germany
- Universität Stuttgart, Institut für Maschinelle Sprachverarbeitung, germany (former)
According to our database1,
Heike Adel
authored at least 65 papers
between 2013 and 2024.
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Bibliography
2024
CoRR, 2024
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering.
CoRR, 2024
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
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
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
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
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
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
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022
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
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
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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
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
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
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
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
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
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019
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
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
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
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
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
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017
2016
Proceedings of the NAACL HLT 2016, 2016
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
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
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
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
2013
Proceedings of the Statistical Language and Speech Processing, 2013
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