32 citations · 37 across the 2 of their papers we have counts for
3 papers
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter
Gregor Wiedemann, Eugen Ruppert, Raghav Jindal +1
We investigate different strategies for automatic offensive language classification on German Twitter data. For this, we employ a sequentially combined BiLSTM-CNN neural network. B…
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl
Alexander Panchenko, Eugen Ruppert, Stefano Faralli +2
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 occu…
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Alexander Panchenko, Fide Marten, Eugen Ruppert +4
Interpretability of a predictive model is a powerful feature that gains the trust of users in the correctness of the predictions. In word sense disambiguation (WSD), knowledge-base…