activity
20192026
most citedDisentangling Interpretable Generative Parameters of Random and Real-World Graphs

11 citations · 21 across the 19 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

stat.ML2022★ 5 cited

The Ordered Matrix Dirichlet for State-Space Models

Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell +1

Many dynamical systems in the real world are naturally described by latent states with intrinsic orderings, such as "ally", "neutral", and "enemy" relationships in international re…

cs.CL2022

Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022

Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan +12

We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) docume…

cs.CL2022

The Architectural Bottleneck Principle

Tiago Pimentel, Josef Valvoda, Niklas Stoehr +1

In this paper, we seek to measure how much information a component in a neural network could extract from the representations fed into it. Our work stands in contrast to prior prob…

cs.CL2022

Rethinking the Event Coding Pipeline with Prompt Entailment

Clément Lefebvre, Niklas Stoehr

For monitoring crises, political events are extracted from the news. The large amount of unstructured full-text event descriptions makes a case-by-case analysis unmanageable, parti…

cs.LG2022

An Ordinal Latent Variable Model of Conflict Intensity

Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda +3

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of "who did what to w…