Niklas Stoehr
Niklas Stoehr
Institute for Machine Learning, ETH Zurich
Verified email at - Homepage
Cited by
Cited by
The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time
F Stephany, N Stoehr, P Darius, L Neuhäuser, O Teutloff, F Braesemann
Nature – Humanities and Social Sciences Communications 41 (https://www …, 2022
Measuring proximity between newspapers and political parties: The sentiment political compass
F Falck, J Marstaller, N Stoehr, S Maucher, J Ren, A Thalhammer, ...
Oxford Policy & Internet Journal Wiley 12 (3), 367-399, 2020
Sigmorphon 2021 shared task on morphological reinflection: Generalization across languages
T Pimentel, M Ryskina, SJ Mielke, S Wu, E Chodroff, B Leonard, G Nicolai, ...
SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and …, 2021
UniMorph 4.0: Universal Morphology
K Batsuren, O Goldman, S Khalifa, N Habash, W Kieraś, G Bella, ...
LREC 2022, 2022
Discovering black lives matter events in the United States: Shared task 3, CASE 2021
S Giorgi, V Zavarella, H Tanev, N Stefanovitch, S Hwang, H Hettiarachchi, ...
Proceedings of the 4th Workshop on Challenges and Applications of Automated …, 2021
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
N Stoehr, M Brockschmidt, J Stuehmer, E Yilmaz
NeurIPS 2019, Workshop on Graph Representation Learning, 2019
Extended Multilingual Protest News Detection--Shared Task 1, CASE 2021 and 2022
A Hürriyetoğlu, O Mutlu, F Duruşan, O Uca, AS Gürel, B Radford, Y Dai, ...
EMNLP 2022, CASE Workshop, 2022
Global Networks in Collaborative Programming
F Braesemann, N Stoehr, M Graham
Regional Studies, Regional Science, 2019
The Architectural Bottleneck Principle
T Pimentel, J Valvoda, N Stoehr, R Cotterell
EMNLP 2022, 2022
What About the Precedent: An Information-Theoretic Analysis of Common Law
J Valvoda, T Pimentel, N Stoehr, R Cotterell, S Teufel
NAACL 2021, 2021
ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task
G Russo, N Stoehr, MH Ribeiro
EVALITA 2023, 2023
The Ordered Matrix Dirichlet for State-Space Models
N Stoehr, BJ Radford, R Cotterell, A Schein
AISTATS 2023, 2022
Team “DaDeFrNi” at CASE 2021 Task 1: Document and Sentence Classification for Protest Event Detection
FI Re, D Végh, D Atzenhofer, N Stoehr
Proceedings of the 4th Workshop on Challenges and Applications of Automated …, 2021
An Ordinal Latent Variable Model of Conflict Intensity
N Stoehr, LT Hennigen, J Valvoda, R West, R Cotterell, A Schein
ACL 2023, 2022
Classifying Dyads for Militarized Conflict Analysis
N Stoehr, LT Hennigen, S Ahbab, R West, R Cotterell
EMNLP 2021, 2021
Team “NoConflict” at CASE 2021 Task 1: Pretraining for Sentence-Level Protest Event Detection
T Hu, N Stoehr
Proceedings of the 4th Workshop on Challenges and Applications of Automated …, 2021
Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends
N Stoehr, F Braesemann, M Frommelt, S Zhou
Springer Nature – CompleNet 2020, 2020
Unsupervised contrast-consistent ranking with language models
N Stoehr, P Cheng, J Wang, D Preotiuc-Pietro, R Bhowmik
EACL 2024, 2024
Extracting Victim Counts from Text
M Zhong, S Dhuliawala, N Stoehr
EACL 2023, 2023
Estimating conflict losses and reporting biases
BJ Radford, Y Dai, N Stoehr, A Schein, M Fernandez, H Sajid
PNAS 120 (34), e2307372120, 2023
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