1 code implementation • 29 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.
1 code implementation • 8 Mar 2024 • Sotaro Takeshita, Tommaso Green, Ines Reinig, Kai Eckert, Simone Paolo Ponzetto
Extensive efforts in the past have been directed toward the development of summarization datasets.
no code implementations • 8 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.
no code implementations • 7 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.
1 code implementation • sdp (COLING) 2022 • Tornike Tsereteli, Yavuz Selim Kartal, Simone Paolo Ponzetto, Andrea Zielinski, Kai Eckert, Philipp Mayr
In this paper, we provide an overview of the SV-Ident shared task as part of the 3rd Workshop on Scholarly Document Processing (SDP) at COLING 2022.
Ranked #1 on Variable Disambiguation on SV-Ident
no code implementations • 14 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.
1 code implementation • 30 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.
1 code implementation • 19 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.
1 code implementation • WS 2018 • Anne Lauscher, Goran Glava{\v{s}}, Kai Eckert
Argumentation is arguably one of the central features of scientific language.
no code implementations • EMNLP 2018 • Anne Lauscher, Goran Glava{\v{s}}, Simone Paolo Ponzetto, Kai Eckert
Exponential growth in the number of scientific publications yields the need for effective automatic analysis of rhetorical aspects of scientific writing.
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.