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2020 – today
- 2023
[e1]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]- [i15]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
- [b1]Andreas Rücklé:
Representation Learning and Learning from Limited Labeled Data for Community Question Answering. Technical University of Darmstadt, Germany, 2021 - [c18]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. EACL 2021: 487-503 - [c17]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]Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych:
What to Pre-Train on? Efficient Intermediate Task Selection. EMNLP (1) 2021: 10585-10605 - [c15]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]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]Gregor Geigle, Nils Reimers, Andreas Rücklé, Iryna Gurevych:
TWEAC: Transformer with Extendable QA Agent Classifiers. CoRR abs/2104.07081 (2021) - [i13]Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, Iryna Gurevych:
What to Pre-Train on? Efficient Intermediate Task Selection. CoRR abs/2104.08247 (2021) - [i12]Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, Iryna Gurevych:
Learning to Reason for Text Generation from Scientific Tables. CoRR abs/2104.08296 (2021) - [i11]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]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]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. EMNLP (Findings) 2020: 839-853 - [c11]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]Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, Kyunghyun Cho, Iryna Gurevych:
AdapterFusion: Non-Destructive Task Composition for Transfer Learning. CoRR abs/2005.00247 (2020) - [i9]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]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]Mingzhu Wu, Nafise Sadat Moosavi, Andreas Rücklé, Iryna Gurevych:
Improving QA Generalization by Concurrent Modeling of Multiple Biases. CoRR abs/2010.03338 (2020) - [i6]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
- 2019
- [c10]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]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. EMNLP/IJCNLP (1) 2019: 1607-1617 - [c8]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 - [c7]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. RepL4NLP@ACL 2019: 55-60 - [c6]Andreas Rücklé, Krishnkant Swarnkar, Iryna Gurevych:
Improved Cross-Lingual Question Retrieval for Community Question Answering. WWW 2019: 3179-3186 - [i5]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]Steffen Eger, Andreas Rücklé, Iryna Gurevych:
Pitfalls in the Evaluation of Sentence Embeddings. CoRR abs/1906.01575 (2019) - [i3]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]Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych:
Neural Duplicate Question Detection without Labeled Training Data. CoRR abs/1911.05594 (2019) - 2018
- [c5]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]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]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]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]Andreas Rücklé, Iryna Gurevych:
Representation Learning for Answer Selection with LSTM-Based Importance Weighting. IWCS(2) 2017 - [c1]Andreas Rücklé, Iryna Gurevych:
Real-Time News Summarization with Adaptation to Media Attention. RANLP 2017: 610-617
Coauthor Index
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