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2020 – today
- 2024
[c17]Agnieszka Falenska, Eva Maria Vecchi, Gabriella Lapesa:
Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum. LREC/COLING 2024: 14606-14621- [c16]Urban Knuples, Agnieszka Falenska, Filip Miletic:
Gender Identity in Pretrained Language Models: An Inclusive Approach to Data Creation and Probing. EMNLP (Findings) 2024: 11612-11631 - [c15]Esra Dönmez, Thang Vu, Agnieszka Falenska:
Please note that I'm just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification. EMNLP 2024: 18340-18357 - [c14]Jens Kaiser, Agnieszka Falenska:
How to Translate SQuAD to German? A Comparative Study of Answer Span Retrieval Methods for Question Answering Dataset Creation. BBBBBBBBBB 2024: 134-140 - 2023
- [c13]Nicola Fanton, Agnieszka Falenska, Michael Roth:
How-to Guides for Specific Audiences: A Corpus and Initial Findings. ACL (student) 2023: 321-333 - [i4]Nicola Fanton, Agnieszka Falenska, Michael Roth:
How-to Guides for Specific Audiences: A Corpus and Initial Findings. CoRR abs/2309.12117 (2023) - 2021
- [b1]Agnieszka Falenska:
Ensemble dependency parsing across languages: methodological perspectives. University of Stuttgart, Germany, 2021 - 2020
- [c12]Agnieszka Falenska, Anders Björkelund, Jonas Kuhn:
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era. IWPT 2020 2020: 25-39 - [c11]Agnieszka Falenska, Zoltán Czesznak, Kerstin Jung, Moritz Völkel, Wolfgang Seeker, Jonas Kuhn:
GRAIN-S: Manually Annotated Syntax for German Interviews. LREC 2020: 5169-5177
2010 – 2019
- 2019
- [c10]Agnieszka Falenska
, Jonas Kuhn:
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers. ACL (1) 2019: 117-128 - [c9]Xiang Yu, Agnieszka Falenska, Marina Haid, Ngoc Thang Vu, Jonas Kuhn:
IMSurReal: IMS at the Surface Realization Shared Task 2019. MSR@EMNLP-IJCNLP 2019: 50-58 - [c8]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, Jonas Kuhn:
Head-First Linearization with Tree-Structured Representation. INLG 2019: 279-289 - [i3]Agnieszka Falenska, Jonas Kuhn:
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers. CoRR abs/1905.12676 (2019) - 2018
- [c7]Agnieszka Falenska, Kerstin Eckart, Jonas Kuhn:
Moving TIGER beyond Sentence-Level. LREC 2018 - [c6]Katrin Schweitzer, Kerstin Eckart, Markus Gärtner, Agnieszka Falenska, Arndt Riester, Ina Rösiger, Antje Schweitzer, Sabrina Stehwien, Jonas Kuhn:
German Radio Interviews: The GRAIN Release of the SFB732 Silver Standard Collection. LREC 2018 - [i2]Agnieszka Falenska, Anders Björkelund, Xiang Yu, Jonas Kuhn:
IMS at the PolEval 2018: A Bulky Ensemble Depedency Parser meets 12 Simple Rules for Predicting Enhanced Dependencies in Polish. CoRR abs/1811.03036 (2018) - 2017
- [c5]Anders Björkelund, Agnieszka Falenska, Xiang Yu, Jonas Kuhn:
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks. CoNLL Shared Task (2) 2017: 40-51 - [c4]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu:
A General-Purpose Tagger with Convolutional Neural Networks. SWCN@EMNLP 2017: 124-129 - [c3]Agnieszka Falenska, Özlem Çetinoglu:
Lexicalized vs. Delexicalized Parsing in Low-Resource Scenarios. IWPT 2017: 18-24 - [i1]Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu:
A General-Purpose Tagger with Convolutional Neural Networks. CoRR abs/1706.01723 (2017) - 2016
- [c2]Anders Björkelund, Agnieszka Falenska, Wolfgang Seeker, Jonas Kuhn:
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents. ACL (1) 2016 - 2015
- [c1]Agnieszka Falenska, Anders Björkelund, Özlem Çetinoglu, Wolfgang Seeker:
Stacking or Supertagging for Dependency Parsing - What's the Difference? IWPT 2015: 118-129
Coauthor Index
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last updated on 2024-11-19 20:49 CET by the dblp team
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