Search Results for author: Heiner Stuckenschmidt

Found 21 papers, 4 papers with code

Unsupervised stance detection for arguments from consequences

no code implementations EMNLP 2020 Jonathan Kobbe, Ioana Hulpu{\textcommabelow{s}}, Heiner Stuckenschmidt

To address this limitation, we propose a topic independent approach that focuses on a frequently encountered class of arguments, specifically, on arguments from consequences.

Stance Detection

Come hither or go away? Recognising pre-electoral coalition signals in the news

no code implementations EMNLP 2021 Ines Rehbein, Simone Paolo Ponzetto, Anna Adendorf, Oke Bahnsen, Lukas Stoetzer, Heiner Stuckenschmidt

In this paper, we introduce the task of political coalition signal prediction from text, that is, the task of recognizing from the news coverage leading up to an election the (un)willingness of political parties to form a government coalition.

Multi-Task Learning

Exchangeability-Aware Sum-Product Networks

no code implementations11 Oct 2021 Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

On the other hand, mixtures of exchangeable variable models (MEVMs) are a class of tractable probabilistic models that make use of exchangeability of random variables to render inference tractable.

xRAI: Explainable Representations through AI

no code implementations10 Dec 2020 Christiann Bartelt, Sascha Marton, Heiner Stuckenschmidt

The approach is based on the idea of training a so-called interpretation network that receives the weights and biases of the trained network as input and outputs the numerical representation of the function the network was supposed to learn that can be directly translated into a symbolic representation.

Decision Making

Knowledge Graphs meet Moral Values

1 code implementation Joint Conference on Lexical and Computational Semantics 2020 Ioana Hulpu{\textcommabelow{s}}, Jonathan Kobbe, Heiner Stuckenschmidt, Graeme Hirst

Operationalizing morality is crucial for understanding multiple aspects of society that have moral values at their core {--} such as riots, mobilizing movements, public debates, etc.

Knowledge Graphs

Neural Architecture Performance Prediction Using Graph Neural Networks

no code implementations19 Oct 2020 Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper

In computer vision research, the process of automating architecture engineering, Neural Architecture Search (NAS), has gained substantial interest.

Neural Architecture Search

A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction

1 code implementation11 Dec 2019 David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper

In computer vision research, the process of automating architecture engineering, Neural Architecture Search (NAS), has gained substantial interest.

Neural Architecture Search

Political Text Scaling Meets Computational Semantics

1 code implementation12 Apr 2019 Federico Nanni, Goran Glavas, Ines Rehbein, Simone Paolo Ponzetto, Heiner Stuckenschmidt

During the last fifteen years, automatic text scaling has become one of the key tools of the Text as Data community in political science.

Using Abduction in Markov Logic Networks for Root Cause Analysis

no code implementations18 Nov 2015 Joerg Schoenfisch, Janno von Stulpnagel, Jens Ortmann, Christian Meilicke, Heiner Stuckenschmidt

We propose a new approach for calculating the root cause for an observed failure in an IT infrastructure.

Towards Log-Linear Logics with Concrete Domains

no code implementations9 Jul 2015 Melisachew Wudage Chekol, Jakob Huber, Heiner Stuckenschmidt

We present $\mathcal{MEL}^{++}$ (M denotes Markov logic networks) an extension of the log-linear description logics $\mathcal{EL}^{++}$-LL with concrete domains, nominals, and instances.

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