no code implementations • SEMEVAL 2016 • Alex Panchenko, er, Stefano Faralli, Eugen Ruppert, Steffen Remus, Hubert Naets, C{\'e}drick Fairon, Simone Paolo Ponzetto, Chris Biemann
no code implementations • EACL 2017 • Alex Panchenko, er, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann
On the example of word sense induction and disambiguation (WSID), we show that it is possible to develop an interpretable model that matches the state-of-the-art models in accuracy.
1 code implementation • EMNLP 2017 • Alexander Panchenko, Fide Marten, Eugen Ruppert, Stefano Faralli, Dmitry Ustalov, Simone Paolo Ponzetto, Chris Biemann
In word sense disambiguation (WSD), knowledge-based systems tend to be much more interpretable than knowledge-free counterparts as they rely on the wealth of manually-encoded elements representing word senses, such as hypernyms, usage examples, and images.
no code implementations • LREC 2018 • Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann
We present DepCC, the largest-to-date linguistically analyzed corpus in English including 365 million documents, composed of 252 billion tokens and 7. 5 billion of named entity occurrences in 14. 3 billion sentences from a web-scale crawl of the \textsc{Common Crawl} project.
no code implementations • 7 Nov 2018 • Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, Chris Biemann
Best results are achieved from pre-training our model on the unsupervised topic clustering of tweets in combination with thematic user cluster information.
no code implementations • SEMEVAL 2019 • Gregor Wiedemann, Eugen Ruppert, Chris Biemann
We present a neural network based approach of transfer learning for offensive language detection.
no code implementations • LREC 2020 • {\"O}zge Alacam, Eugen Ruppert, Amr Rekaby Salama, Tobias Staron, Wolfgang Menzel
Eye4Ref is a rich multimodal dataset of eye-movement recordings collected from referentially complex situated settings where the linguistic utterances and their visual referential world were available to the listener.