Agnieszka Faleńska

2021

• Agnieszka Falenska and Özlem Çetinoğlu. Assessing Gender Bias in Wikipedia: Inequalities in Article Titles. Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing. [pdf] [code and data] [talk]

2020

• Agnieszka Falenska. Ensemble Dependency Parsing across Languages – Methodological Perspectives. Ph.D. thesis. Universität Stuttgart. [pdf] [prize] [talk]

• Agnieszka Falenska, Anders Björkelund, and Jonas Kuhn. Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era. Proceedings of the 16th International Conference on Parsing Technologies. [pdf] [code] [bibtex]

• Agnieszka Falenska, Zoltán Czesznak, Kerstin Jung, Moritz Völkel, Wolfgang Seeker, and Jonas Kuhn. GRAIN-S: manually annotated syntax for German interviews. Proceedings of The 12th Language Resources and Evaluation Conference. [pdf] [data] [bibtex]

2019

• Xiang Yu, Agnieszka Falenska, Marina Haid, Ngoc Thang Vu, and Jonas Kuhn. IMSurReal: IMS at the Surface Realization Shared Task 2019. In Proceedings of the Second Workshop on Multilingual Surface Realization.[code] [paper] [bibtex]

• Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, and Jonas Kuhn. Head-First Linearization with Tree-Structured Representation. In Proceedings of the 12th International Conference on Natural Language Generation. [code] [paper] [bibtex] (Runner-up for the best paper).

• Xiang Yu, Agnieszka Falenska, and Jonas Kuhn. Dependency length minimization vs. word order constraints: an empirical study on 55 treebanks. Proceedings of Quasy 2019. [pdf] [bibtex]

• Agnieszka Falenska, Jonas Kuhn. The (Non-) Utility of Structural Features in BiLSTM-based Dependency Parsers. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. [pdf] [bibtex] [code]

2018

• Agnieszka Falenska, Anders Björkelund, Xiang Yu, Jonas Kuhn. IMS at the PolEval 2018: A Bulky Ensemble Dependency Parser meets 12 Simple Rules for Predicting Enhanced Dependencies in Polish. Proceedings of the PolEval 2018 Workshop. [pdf] [models] [scripts]

• Agnieszka Falenska, Kerstin Eckart, and Jonas Kuhn. Moving TIGER beyond Sentence-Level. Proceedings of the 11th International Conference on Language Resources and Evaluation. [pdf] [bibtex] [data]

• Katrin Schweitzer, Kerstin Eckart, Markus Gärtner, Agnieszka Falenska, Arndt Riester, Ina Roesiger, Antje Schweitzer, Sabrina Stehwien and Jonas Kuhn. German Radio Interviews: The GRAIN Release of the SFB732 Silver Standard Collection.Proceedings of the 11th International Conference on Language Resources and Evaluation. [pdf] [bibtex] [data]

2017

• Agnieszka Falenska and Özlem Çetinoğlu. Lexicalized vs. Delexicalized Parsing in Low-Resource Scenarios. Proceedings of the 15th International Conference on Parsing Technologies. [pdf] [bibtex]

• Xiang Yu, Agnieszka Falenska, and Ngoc Thang Vu. A general-purpose tagger with convolutional neural networks. Proceedings of the 1st Workshop on Subword and Character LEvel Models in NLP. [pdf] [bibtex]

• Anders Björkelund, Agnieszka Falenska, Xiang Yu, Jonas Kuhn. IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks. Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. [pdf] [bibtex]

2016

• Anders Björkelund, Agnieszka Faleńska, Wolfgang Seeker, and Jonas Kuhn. How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [pdf] [bibtex]

2015

• Agnieszka Faleńska, Anders Björkelund, Özlem Çetinoğlu, and Wolfgang Seeker. Stacking or Supertagging for Dependency Parsing -- What's the difference? Proceedings of the 14th International Conference on Parsing Technologies. [pdf] [bibtex]

2014

• Anders Björkelund, Özlem Çetinoğlu, Agnieszka Faleńska, Richárd Farkas, Thomas Müller, Wolfgang Seeker, and Zsolt Szántó. The IMS-Wrocław-Szeged-CIS Entry at the SPMRL 2014 Shared Task: Reranking and Morphosyntax Meet Unlabeled Data. In Fifth Workshop on Statistical Parsing of Morphologically-Rich Languages. [pdf]

• Statistical Dependency Parsing (SS 2017, SS 2018, WS 2019, WS 2020, WS 2022)
• Programming for Computational Linguistics (WS 2018, WS 2019, WS 2020, WS 2022)
• Parsing (SS 2019)

• Interpretability and Analysis of NLP Models (SS 2021, SS 2022)

Research CV