Andreas Rücklé
Andreas Rücklé
Researcher, UKP Lab, TU Darmstadt
Verified email at - Homepage
Cited by
Cited by
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations
A Rücklé, S Eger, M Peyrard, I Gurevych
arXiv preprint arXiv:1803.01400, 2018
Text processing like humans do: Visually attacking and shielding nlp systems
S Eger, GG Şahin, A Rücklé, JU Lee, C Schulz, M Mesgar, K Swarnkar, ...
NAACL 2019, 1634-1647, 2019
Representation learning for answer selection with lstm-based importance weighting
A Rücklé, I Gurevych
IWCS 2017, 2017
LSDSem 2017: Exploring data generation methods for the story cloze test
M Bugert, Y Puzikov, A Rücklé, J Eckle-Kohler, T Martin, ...
LSDSem Workshop 2017, 56-61, 2017
End-to-end non-factoid question answering with an interactive visualization of neural attention weights
A Rücklé, I Gurevych
ACL 2017, System Demonstrations, 19-24, 2017
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
A Rücklé, NS Moosavi, I Gurevych
AAAI 2019, 6932-6939, 2019
Pitfalls in the Evaluation of Sentence Embeddings
S Eger, A Rücklé, I Gurevych
Repl4NLP 2019, 2019
Improved Cross-Lingual Question Retrieval for Community Question Answering
A Rücklé, K Swarnkar, I Gurevych
WWW 2019, 3179-3186, 2019
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
J Pfeiffer, A Kamath, A Rücklé, K Cho, I Gurevych
arXiv preprint arXiv:2005.00247, 2020
AdapterHub: A Framework for Adapting Transformers
J Pfeiffer, A Rücklé, C Poth, A Kamath, I Vulić, S Ruder, K Cho, I Gurevych
EMNLP 2020, System Demonstrations, 2020
Improving Generalization by Incorporating Coverage in Natural Language Inference
NS Moosavi, PA Utama, A Rücklé, I Gurevych
arXiv preprint arXiv:1909.08940, 2019
Real-Time News Summarization with Adaptation to Media Attention
A Rücklé, I Gurevych
RANLP 2017, 610-617, 2017
Neural Duplicate Question Detection without Labeled Training Data
A Rücklé, NS Moosavi, I Gurevych
EMNLP 2019, 1607-1617, 2019
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection
S Eger, A Rücklé, I Gurevych
ArgMining Workshop 2018, 131-143, 2018
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