output
20192025
most citedUnderstanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data

56 citations

16 papers

cs.CL2025★ 1 cited

DISCIE -- Discriminative Closed Information Extraction

Cedric Möller, Ricardo Usbeck

This paper introduces a novel method for closed information extraction. The method employs a discriminative approach that incorporates type and entity-specific information to impro…

cs.CL2025★ 1 cited

Analyzing the Influence of Knowledge Graph Information on Relation Extraction

Cedric Möller, Ricardo Usbeck

We examine the impact of incorporating knowledge graph information on the performance of relation extraction models across a range of datasets. Our hypothesis is that the positions…

cs.RO2024★ 3 cited

Robust Maneuver Planning With Scalable Prediction Horizons: A Move Blocking Approach

Philipp Schitz, Johann C. Dauer, Paolo Mercorelli

Implementation of Model Predictive Control (MPC) on hardware with limited computational resources remains a challenge. Especially for long-distance maneuvers that require small sam…

physics.flu-dyn2024★ 2 cited

Relevance of the Basset history term for Lagrangian particle dynamics

Julio Urizarna-Carasa, Daniel Ruprecht, Alexandra von Kameke +1

The movement of small but finite spherical particles in a fluid can be described by the Maxey-Riley equation (MRE) if they are too large to be considered passive tracers. The MRE c…

cs.CL2023★ 56 cited

Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data

Daniyar Amangeldi, Aida Usmanova, Pakizar Shamoi

Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for co…

cs.LG2023★ 23 cited

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

Federico Berto, Chuanbo Hua, Junyoung Park +30

Combinatorial optimization (CO) is fundamental to several real-world applications, from logistics and scheduling to hardware design and resource allocation. Deep reinforcement lear…