Andreas Rücklé

According to our database, Andreas Rücklé authored at least 25 papers between 2017 and 2023.

Collaborative distances:

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

2023

Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research.

Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge

CoRR, 2023

2021

Representation Learning and Learning from Limited Labeled Data for Community Question Answering.

Andreas Rücklé

PhD thesis, 2021

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych

CoRR, 2021

Learning to Reason for Text Generation from Scientific Tables.

Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych

CoRR, 2021

TWEAC: Transformer with Extendable QA Agent Classifiers.

Gregor Geigle, Nils Reimers, Andreas Rücklé, Iryna Gurevych

CoRR, 2021

BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables.

Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

AdapterDrop: On the Efficiency of Adapters in Transformers.

Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What to Pre-Train on? Efficient Intermediate Task Selection.

Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

AdapterFusion: Non-Destructive Task Composition for Transfer Learning.

Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Improving QA Generalization by Concurrent Modeling of Multiple Biases.

Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale.

Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AdapterHub: A Framework for Adapting Transformers.

Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2019

Improving Generalization by Incorporating Coverage in Natural Language Inference.

Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych

CoRR, 2019

Improved Cross-Lingual Question Retrieval for Community Question Answering.

Andreas Rücklé, Krishnkant Swarnkar, Iryna Gurevych

Proceedings of the World Wide Web Conference, 2019

Pitfalls in the Evaluation of Sentence Embeddings.

Steffen Eger, Andreas Rücklé, Iryna Gurevych

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems.

Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural Duplicate Question Detection without Labeled Training Data.

Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych

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

COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data.

Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations.

Andreas Rücklé, Steffen Eger, Maxime Peyrard, Iryna Gurevych

CoRR, 2018

PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection.

Steffen Eger, Andreas Rücklé, Iryna Gurevych

Proceedings of the 5th Workshop on Argument Mining, 2018

2017

Real-Time News Summarization with Adaptation to Media Attention.

Andreas Rücklé, Iryna Gurevych

Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Representation Learning for Answer Selection with LSTM-Based Importance Weighting.

Andreas Rücklé, Iryna Gurevych

Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test.

Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez-Cámara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych

Proceedings of the 2nd Workshop on Linking Models of Lexical, 2017

End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights.

Andreas Rücklé, Iryna Gurevych

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017