Search Results for author: Kai Eckert

Found 5 papers, 3 papers with code

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.

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.

Natural Language Processing Word Sense Disambiguation

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