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- Max Planck SocietyDE261 papers
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- Institut national de recherche en sciences et technologies du numériqueFR24 papers
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64 papers · 1 filter
Materialized Knowledge Bases from Commonsense Transformers
Tuan-Phong Nguyen, Simon Razniewski
Starting from the COMET methodology by Bosselut et al. (2019), generating commonsense knowledge directly from pre-trained language models has recently received significant attentio…
Refined Commonsense Knowledge from Large-Scale Web Contents
Tuan-Phong Nguyen, Simon Razniewski, Julien Romero +1
Commonsense knowledge (CSK) about concepts and their properties is helpful for AI applications. Prior works, such as ConceptNet, have compiled large CSK collections. However, they…
Hyperbolicity Computation through Dominating Sets
David Coudert, André Nusser, Laurent Viennot
Hyperbolicity is a graph parameter related to how much a graph resembles a tree with respect to distances. Its computation is challenging as the main approaches consist in scanning…
A Deeper Look into DeepCap
Marc Habermann, Weipeng Xu, Michael Zollhoefer +2
Human performance capture is a highly important computer vision problem with many applications in movie production and virtual/augmented reality. Many previous performance capture…
Fine-Grained Complexity Theory: Conditional Lower Bounds for Computational Geometry
Karl Bringmann
Fine-grained complexity theory is the area of theoretical computer science that proves conditional lower bounds based on the Strong Exponential Time Hypothesis and similar conjectu…
Law Smells: Defining and Detecting Problematic Patterns in Legal Drafting
Corinna Coupette, Dirk Hartung, Janis Beckedorf +2
Building on the computer science concept of code smells, we initiate the study of law smells, i.e., patterns in legal texts that pose threats to the comprehensibility and maintaina…