Lukas Lange

According to our database, Lukas Lange authored at least 32 papers between 2018 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

Rehearsal-Free Modular and Compositional Continual Learning for Language Models.

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Discourse-Aware In-Context Learning for Temporal Expression Normalization.

Akash Kumar Gautam, Lukas Lange, Jannik Strötgen

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.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios.

Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports.

Lukas Lange, Marc Müller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Chandra Pujari, Annemarie Friedrich

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation.

Timo Pierre Schrader, Simon Razniewski, Lukas Lange, Annemarie Friedrich

CoRR, 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

DelucionQA: Detecting Hallucinations in Domain-specific Question Answering.

Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng

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

TADA: Efficient Task-Agnostic Domain Adaptation for Transformers.

Chia-Chien Hung, Lukas Lange, Jannik Strötgen

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

2022

Robust input representations for low-resource information extraction.

Lukas Lange

PhD thesis, 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

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

ANEA: Distant Supervision for Low-Resource Named Entity Recognition.

Michael A. Hedderich, Lukas Lange, Dietrich Klakow

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

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

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

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

The Power of Temporal Features for Classifying News Articles.

Lukas Lange, Omar Alonso, Jannik Strötgen

Proceedings of the Companion of The 2019 World Wide Web Conference, 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

Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels.

Lukas Lange, Michael A. Hedderich, Dietrich Klakow

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 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

KRAUTS: A German Temporally Annotated News Corpus.

Jannik Strötgen, Anne-Lyse Minard, Lukas Lange, Manuela Speranza, Bernardo Magnini

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018