Agnieszka Falenska

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 18

Top Topics

Structural Features

Dependency Parser

Convolutional Neural Networks

Initial Findings

Top Venues

Publications

Agnieszka Falenska, Eva Maria Vecchi, Gabriella Lapesa
Self-reported Demographics and Discourse Dynamics in a Persuasive Online Forum. LREC/COLING (2024)
Nicola Fanton, Agnieszka Falenska, Michael Roth
How-to Guides for Specific Audiences: A Corpus and Initial Findings. CoRR (2023)
Nicola Fanton, Agnieszka Falenska, Michael Roth
How-to Guides for Specific Audiences: A Corpus and Initial Findings. ACL (student) (2023)
Agnieszka Falenska, Zoltán Czesznak, Kerstin Jung, Moritz Völkel, Wolfgang Seeker, Jonas Kuhn
GRAIN-S: Manually Annotated Syntax for German Interviews. LREC (2020)
Agnieszka Falenska, Anders Björkelund, Jonas Kuhn
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era. IWPT 2020 (2020)
Xiang Yu, Agnieszka Falenska, Marina Haid, Ngoc Thang Vu, Jonas Kuhn
IMSurReal: IMS at the Surface Realization Shared Task 2019. MSR@EMNLP-IJCNLP (2019)
Agnieszka Falenska, Jonas Kuhn
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers. CoRR (2019)
Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, Jonas Kuhn
Head-First Linearization with Tree-Structured Representation. INLG (2019)
Agnieszka Falenska, Jonas Kuhn
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers. ACL (1) (2019)
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 (2018)
Agnieszka Falenska, Kerstin Eckart, Jonas Kuhn
Moving TIGER beyond Sentence-Level. LREC (2018)
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)
Agnieszka Falenska, Özlem Çetinoglu
Lexicalized vs. Delexicalized Parsing in Low-Resource Scenarios. IWPT (2017)
Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu
A General-Purpose Tagger with Convolutional Neural Networks. CoRR (2017)
Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu
A General-Purpose Tagger with Convolutional Neural Networks. SWCN@EMNLP (2017)
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)
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)
Agnieszka Falenska, Anders Björkelund, Özlem Çetinoglu, Wolfgang Seeker
Stacking or Supertagging for Dependency Parsing - What's the Difference? IWPT (2015)