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Andreas Rücklé

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2020 – today

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2023
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Daniel Deutsch, Rotem Dror, Steffen Eger, Yang Gao, Christoph Leiter, Juri Opitz, Andreas Rücklé:
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2023, Bali, Indonesia, November 1, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-021-9 [contents]
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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:
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research. CoRR abs/2306.16900 (2023)
2021
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Andreas Rücklé:
Representation Learning and Learning from Limited Labeled Data for Community Question Answering. Technical University of Darmstadt, Germany, 2021
[c18]
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Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL 2021: 487-503
[c17]
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Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych:
AdapterDrop: On the Efficiency of Adapters in Transformers. EMNLP (1) 2021: 7930-7946
[c16]
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Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych:
What to Pre-Train on? Efficient Intermediate Task Selection. EMNLP (1) 2021: 10585-10605
[c15]
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Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. NeurIPS Datasets and Benchmarks 2021
[c14]
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Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych:
BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. NeurIPS Datasets and Benchmarks 2021
[i14]
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  - journals/corr/abs-2104-07081
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Gregor Geigle, Nils Reimers, Andreas Rücklé, Iryna Gurevych:
TWEAC: Transformer with Extendable QA Agent Classifiers. CoRR abs/2104.07081 (2021)
[i13]
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  - journals/corr/abs-2104-08247
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Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych:
What to Pre-Train on? Efficient Intermediate Task Selection. CoRR abs/2104.08247 (2021)
[i12]
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Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
Learning to Reason for Text Generation from Scientific Tables. CoRR abs/2104.08296 (2021)
[i11]
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Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, Iryna Gurevych:
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models. CoRR abs/2104.08663 (2021)
2020
[c13]
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Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych:
AdapterHub: A Framework for Adapting Transformers. EMNLP (Demos) 2020: 46-54
[c12]
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Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. EMNLP (Findings) 2020: 839-853
[c11]
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Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych:
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale. EMNLP (1) 2020: 2471-2486
[i10]
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  - journals/corr/abs-2005-00247
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Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR abs/2005.00247 (2020)
[i9]
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  - journals/corr/abs-2007-07779
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Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, Aishwarya Kamath, Ivan Vulic, Sebastian Ruder, Kyunghyun Cho, Iryna Gurevych:
AdapterHub: A Framework for Adapting Transformers. CoRR abs/2007.07779 (2020)
[i8]
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  - journals/corr/abs-2010-00980
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Andreas Rücklé, Jonas Pfeiffer, Iryna Gurevych:
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale. CoRR abs/2010.00980 (2020)
[i7]
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  - journals/corr/abs-2010-03338
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Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. CoRR abs/2010.03338 (2020)
[i6]
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  - journals/corr/abs-2010-11918
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Andreas Rücklé, Gregor Geigle, Max Glockner, Tilman Beck, Jonas Pfeiffer, Nils Reimers, Iryna Gurevych:
AdapterDrop: On the Efficiency of Adapters in Transformers. CoRR abs/2010.11918 (2020)

2010 – 2019

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2019
[c10]
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Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data. AAAI 2019: 6932-6939
[c9]
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Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. EMNLP/IJCNLP (1) 2019: 1607-1617
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Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. NAACL-HLT (1) 2019: 1634-1647
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Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. RepL4NLP@ACL 2019: 55-60
[c6]
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Andreas Rücklé, Krishnkant Swarnkar, Iryna Gurevych:
Improved Cross-Lingual Question Retrieval for Community Question Answering. WWW 2019: 3179-3186
[i5]
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  - journals/corr/abs-1903-11508
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Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. CoRR abs/1903.11508 (2019)
[i4]
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  - journals/corr/abs-1906-01575
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Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. CoRR abs/1906.01575 (2019)
[i3]
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  - journals/corr/abs-1909-08940
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Nafise Sadat Moosavi, Prasetya Ajie Utama, Andreas Rücklé, Iryna Gurevych:
Improving Generalization by Incorporating Coverage in Natural Language Inference. CoRR abs/1909.08940 (2019)
[i2]
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  - journals/corr/abs-1911-05594
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Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. CoRR abs/1911.05594 (2019)
2018
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  - conf/argmining/EgerRG18
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Steffen Eger, Andreas Rücklé, Iryna Gurevych:
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection. ArgMining@EMNLP 2018: 131-143
[i1]
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  - journals/corr/abs-1803-01400
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Andreas Rücklé, Steffen Eger, Maxime Peyrard, Iryna Gurevych:
Concatenated p-mean Word Embeddings as Universal Cross-Lingual Sentence Representations. CoRR abs/1803.01400 (2018)
2017
[c4]
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Andreas Rücklé, Iryna Gurevych:
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights. ACL (System Demonstrations) 2017: 19-24
[c3]
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  - conf/eacl/BugertPREMMSPG17
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Michael Bugert, Yevgeniy Puzikov, Andreas Rücklé, Judith Eckle-Kohler, Teresa Martin, Eugenio Martínez-Cámara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych:
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test. LSDSem@EACL 2017: 56-61
[c2]
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Andreas Rücklé, Iryna Gurevych:
Representation Learning for Answer Selection with LSTM-Based Importance Weighting. IWCS(2) 2017
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Andreas Rücklé, Iryna Gurevych:
Real-Time News Summarization with Adaptation to Media Attention. RANLP 2017: 610-617

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