Lukas Lange

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 47

Top Topics

Transfer Learning

Recent Approaches

Top Venues

Publications

Lukas Lange, Marc Müller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Chandra Pujari, Annemarie Friedrich
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. CoRR (2024)
Akash Kumar Gautam, Lukas Lange, Jannik Strötgen
Discourse-Aware In-Context Learning for Temporal Expression Normalization. CoRR (2024)
Lukas Lange, Marc Müller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Chandra Pujari, Annemarie Friedrich
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. LREC/COLING (2024)
Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze
Learn it or Leave it: Module Composition and Pruning for Continual Learning. CoRR (2024)
Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze
Rehearsal-Free Modular and Compositional Continual Learning for Language Models. CoRR (2024)
Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow
Multilingual Normalization of Temporal Expressions with Masked Language Models. EACL (2023)
Timo Pierre Schrader, Simon Razniewski, Lukas Lange, Annemarie Friedrich
BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation. CoRR (2023)
Chia-Chien Hung, Lukas Lange, Jannik Strötgen
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers. CoRR (2023)
Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. EACL (2023)
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 (2023)
Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. CoRR (2023)
Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. EMNLP (2023)
Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh Menon, Md. Rizwan Parvez, Zhe Feng
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. EMNLP (Findings) (2023)
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)
Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training. CoRR (2023)
Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. CoRR (2023)
Chia-Chien Hung, Lukas Lange, Jannik Strötgen
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers. ACL (Findings) (2023)
Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow
Multilingual Normalization of Temporal Expressions with Masked Language Models. CoRR (2022)
Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain. Bioinform. 38 (12) (2022)
Lukas Lange, Jannik Strötgen, Heike Adel, Dietrich Klakow
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. CoRR (2021)
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 (2021)
Lukas Lange, Heike Adel, Jannik Strötgen
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. IberLEF@SEPLN (2021)
Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. EMNLP (1) (2021)
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)
Lukas Lange, Heike Adel, Jannik Strötgen
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. CoRR (2021)
Michael A. Hedderich, Lukas Lange, Dietrich Klakow
ANEA: Distant Supervision for Low-Resource Named Entity Recognition. CoRR (2021)
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)
Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow
Adversarial Learning of Feature-based Meta-Embeddings. CoRR (2020)
Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. CoRR (2020)
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 (2020)
Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. RepL4NLP@ACL (2020)
Lukas Lange, Heike Adel, Jannik Strötgen
On the Choice of Auxiliary Languages for Improved Sequence Tagging. CoRR (2020)
Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. IberLEF@SEPLN (2020)
Lukas Lange, Heike Adel, Jannik Strötgen
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection. CoRR (2020)
Lukas Lange, Heike Adel, Jannik Strötgen
On the Choice of Auxiliary Languages for Improved Sequence Tagging. RepL4NLP@ACL (2020)
Lukas Lange, Heike Adel, Jannik Strötgen
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. CoRR (2020)
Lukas Lange, Heike Adel, Jannik Strötgen
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. CoRR (2020)
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 (2020)
Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. CoRR (2020)
Lukas Lange, Heike Adel, Jannik Strötgen
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain. ACL (2020)
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)
Lukas Lange, Michael A. Hedderich, Dietrich Klakow
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. EMNLP/IJCNLP (1) (2019)
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)
Lukas Lange, Omar Alonso, Jannik Strötgen
The Power of Temporal Features for Classifying News Articles. WWW (Companion Volume) (2019)
Lukas Lange, Heike Adel, Jannik Strötgen
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. IberLEF@SEPLN (2019)
Lukas Lange, Michael A. Hedderich, Dietrich Klakow
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. CoRR (2019)
Jannik Strötgen, Anne-Lyse Minard, Lukas Lange, Manuela Speranza, Bernardo Magnini
KRAUTS: A German Temporally Annotated News Corpus. LREC (2018)