Search Results for author: Kai Eckert

Found 12 papers, 8 papers with code

G-PCGRL: Procedural Graph Data Generation via Reinforcement Learning

1 code implementation15 Jul 2024 Florian Rupp, Kai Eckert

Our method adapts and extends the Procedural Content Generation via Reinforcement Learning (PCGRL) framework and introduces new representations to frame the problem of graph data generation as a Markov decision process.


GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms

1 code implementation29 Apr 2024 Florian Rupp, Kai Eckert

We propose GEEvo (Game Economy Evolution), a framework to generate graph-based game economies and balancing both, newly generated or existing economies.

Evolutionary Algorithms

ROUGE-K: Do Your Summaries Have Keywords?

1 code implementation8 Mar 2024 Sotaro Takeshita, Simone Paolo Ponzetto, Kai Eckert

Keywords, that is, content-relevant words in summaries play an important role in efficient information conveyance, making it critical to assess if system-generated summaries contain such informative words during evaluation.

Extreme Summarization

Balancing of competitive two-player Game Levels with Reinforcement Learning

no code implementations7 Jun 2023 Florian Rupp, Manuel Eberhardinger, Kai Eckert

The balancing process for game levels in a competitive two-player context involves a lot of manual work and testing, particularly in non-symmetrical game levels.


Towards Automated Survey Variable Search and Summarization in Social Science Publications

no code implementations14 Sep 2022 Yavuz Selim Kartal, Sotaro Takeshita, Tornike Tsereteli, Kai Eckert, Henning Kroll, Philipp Mayr, Simone Paolo Ponzetto, Benjamin Zapilko, Andrea Zielinski

Nowadays there is a growing trend in many scientific disciplines to support researchers by providing enhanced information access through linking of publications and underlying datasets, so as to support research with infrastructure to enhance reproducibility and reusability of research results.

Variable Detection

X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documents

1 code implementation30 May 2022 Sotaro Takeshita, Tommaso Green, Niklas Friedrich, Kai Eckert, Simone Paolo Ponzetto

The number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current trends and lines of work.

Extreme Summarization Machine Translation +1

Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study

1 code implementation19 Dec 2018 Maral Dadvar, Kai Eckert

Our findings show that the deep learning based models outperform the machine learning models previously applied to the same YouTube dataset.

4k BIG-bench Machine Learning

A Large DataBase of Hypernymy Relations Extracted from the Web.

no code implementations LREC 2016 Julian Seitner, Christian Bizer, Kai Eckert, Stefano Faralli, Robert Meusel, Heiko Paulheim, Simone Paolo Ponzetto

Hypernymy relations (those where an hyponym term shares a {``}isa{''} relationship with his hypernym) play a key role for many Natural Language Processing (NLP) tasks, e. g. ontology learning, automatically building or extending knowledge bases, or word sense disambiguation and induction.

Word Sense Disambiguation

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