Andreas Rücklé

Andreas Rücklé M.Sc.

Doctoral researcher

+49 6151 16-25296
+49 6151 16-25295

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 B115

Research interests

See my website for more details: rueckle.net

Projects

I am currently involved in the following projects:

Awards and grants

Teaching

Student supervision

I supervise or have supervised the following students or interns:

  • Xia Zeng. 2019/2020. Internship (joint supervision with Nafise Sadat Moosavi). Creation of a table-to-text dataset based on content from publicly accessible research articles and the application of table-to-text baseline systems
  • Martin Lichtblau. 2019/2020. Master thesis. “User-Centered Evaluation of End-to-End cQA Systems”
  • Jana Vatter. 2018. Bachelor thesis. “Exploring Training Strategies for cQA Retrieval Tasks”
  • Krishnkant Swarnkar. 2018. Internship. Training models for cross-lingual question retrieval and testing of data augmentation techniques.
  • Johann Wiedmeier. 2017. Master thesis. “Enhanced Representation Learning for Question Retrieval with Transfer Learning.”
  • Paul Dubs. 2016/2017. Master thesis. “Large-Scale Semantic Question Retrieval in Community Question Answering”
  • Nadja Geisler 2016/2017. Bachelor thesis. “Enhancing Complex Question Answering with Rule-Based Question Understanding”
  • Vu Xuan Son. 2016. Internship. Creation of an automatic question answering system that retrieves and ranks arguments from product reviews.
  • Omnia Zayed. 2016. Internship. Comparison of different methods for answer summarization in community question answering and an analysis of evaluation techniques in this setup.

Biographical information

I hold a Master of Science in computer science from Technische Universität Darmstadt (2010-2015). Between 2008 and 2016, I have worked as a part-time freelance software engineer and web developer for numerous direct clients as well as medium to large firms such as SYZYGY, Ogilvy, and ETECTURE. In 2011 I founded the company ARULABS UG with the goal to carry out full IT projects.

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2021 | 2020 | 2019 | 2018 | 2017 | 2015
Anzahl der Einträge: 17.

2021

Pfeiffer, Jonas ; Kamath, Aishwarya ; Rücklé, Andreas ; Cho, Kyunghyun ; Gurevych, Iryna (2021):
AdapterFusion: Non-Destructive Task Composition for Transfer Learning.
16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), virtual conference, 19.-23.04.2021, [Konferenzveröffentlichung]

2020

Wu, Mingzhu ; Moosavi, Nafise Sadat ; Rücklé, Andreas ; Gurevych, Iryna (2020):
Improving QA Generalization by Concurrent Modeling of Multiple Biases.
In: Findings of the Association for Computational Linguistics: EMNLP 2020, S. 839-853,
Association for Computational Linguistics, Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), virtual Conference, 16.-20.11., DOI: 10.18653/v1/2020.findings-emnlp.74,
[Konferenzveröffentlichung]

Rücklé, Andreas ; Pfeiffer, Jonas ; Gurevych, Iryna (2020):
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale.
S. 2471-2486, Association for Computational Linguistics, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), virtual Conference, 16.-20.11., [Konferenzveröffentlichung]

Pfeiffer, Jonas ; Rücklé, Andreas ; Poth, Clifton ; Kamath, Aishwarya ; Vulić, Ivan ; Ruder, Sebastian ; Cho, Kyunghyun ; Gurevych, Iryna (2020):
AdapterHub: A Framework for Adapting Transformers.
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, S. 46-54,
Association for Computational Linguistics, Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), virtual Conference, 16.-20.11., DOI: 10.18653/v1/2020.emnlp-demos.7,
[Konferenzveröffentlichung]

2019

Moosavi, Nafise Sadat ; Utama, Prasetya ; Rücklé, Andreas ; Gurevych, Iryna (2019):
Improving Generalization by Incorporating Coverage in Natural Language Inference.
In: arXiv preprint arXiv:1909.08940, [Artikel]

Rücklé, Andreas ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2019):
Neural Duplicate Question Detection without Labeled Training Data.
S. 1607-1617, The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), Hong Kong, China, 03.11.2019--07.11.2019, [Konferenzveröffentlichung]

Eger, Steffen ; Rücklé, Andreas ; Gurevych, Iryna (2019):
Pitfalls in the Evaluation of Sentence Embeddings.
S. 55-60, Florence, Italy, The 4th Workshop on Representation Learning for NLP (Repl4NLP 2019), Florence, Italy, 2 August 2019, [Konferenzveröffentlichung]

Rücklé, Andreas ; Swarnkar, Krishnkant ; Gurevych, Iryna (2019):
Improved Cross-Lingual Question Retrieval for Community Question Answering.
In: Proceedings of The Web Conference (WWW-19), S. 3179-3186,
San Francisco, USA, San Francisco, USA, [Konferenzveröffentlichung]

Eger, Steffen ; Şahin, Gözde Gül ; Rücklé, Andreas ; Lee, Ji-Ung ; Schulz, Claudia ; Mesgar, Mohsen ; Swarnkar, Krishnkant ; Simpson, Edwin ; Gurevych, Iryna (2019):
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, S. 1634-1647,
Minneapolis, USA, The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019--07.10.2019, [Konferenzveröffentlichung]

Rücklé, Andreas ; Moosavi, Nafise Sadat ; Gurevych, Iryna (2019):
COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data.
In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), S. 6932-6939,
Honolulu, Hawaii, USA, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA, DOI: 10.1609/aaai.v33i01.33016932,
[Konferenzveröffentlichung]

2018

Eger, Steffen ; Rücklé, Andreas ; Gurevych, Iryna (2018):
PD3: Better Low-Resource Cross-Lingual Transfer By Combining Direct Transfer and Annotation Projection.
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing,
5th Workshop on Argument Mining, Brussels, Belgium, 31.10.2018, [Konferenzveröffentlichung]

Rücklé, Andreas ; Eger, Steffen ; Peyrard, Maxime ; Gurevych, Iryna (2018):
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations.
In: arXiv:1803.01400, [Artikel]

2017

Rücklé, Andreas ; Gurevych, Iryna (2017):
Real-Time News Summarization with Adaptation to Media Attention.
In: Proceedings of the 11th Conference on Recent Advances in Natural Language Processing (RANLP 2017), S. 610-617,
Association for Computational Linguistics, Varna, Bulgaria, DOI: 10.26615/978-954-452-049-6_079,
[Konferenzveröffentlichung]

Rücklé, Andreas ; Gurevych, Iryna (2017):
Representation Learning for Answer Selection with LSTM-Based Importance Weighting.
Volume 2: Short papers, In: Proceedings of the 12th International Conference on Computational Semantics (IWCS 2017), S. (to appear),
Association for Computational Linguistics, Montpellier, France, [Konferenzveröffentlichung]

Rücklé, Andreas ; Gurevych, Iryna (2017):
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights.
4: System Demonstrations, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics-System Demonstrations (ACL 2017), S. 19-24,
Association for Computational Linguistics, Vancouver, Canada, [Konferenzveröffentlichung]

Bugert, Michael ; Puzikov, Yevgeniy ; Rücklé, Andreas ; Eckle-Kohler, Judith ; Martin, Teresa ; Martínez Cámara, Eugenio ; Sorokin, Daniil ; Peyrard, Maxime ; Gurevych, Iryna (2017):
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test.
In: Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, S. 56-61,
Association for Computational Linguistics, The 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, Valencia, Spain, 03.04.2017--04.04.2017, ISBN 978-1-945626-40-1,
[Konferenzveröffentlichung]

2015

Rücklé, Andreas (2015):
Real-Time Summarization of Big Data Streams.
Technische Universität Darmstadt, [Masterarbeit]

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