641 citations · 1k across the 33 of their papers we have counts for
15 papers · 2 filters
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…
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF
Gregor Wiedemann, Raghav Jindal, Chris Biemann
For named entity recognition (NER), bidirectional recurrent neural networks became the state-of-the-art technology in recent years. Competing approaches vary with respect to pre-tr…
Unsupervised Sense-Aware Hypernymy Extraction
Dmitry Ustalov, Alexander Panchenko, Chris Biemann +1
In this paper, we show how unsupervised sense representations can be used to improve hypernymy extraction. We present a method for extracting disambiguated hypernymy relationships…
Categorizing Comparative Sentences
Alexander Panchenko, Alexander Bondarenko, Mirco Franzek +2
We tackle the tasks of automatically identifying comparative sentences and categorizing the intended preference (e.g., "Python has better NLP libraries than MATLAB" => (Python, bet…
A Multilingual Information Extraction Pipeline for Investigative Journalism
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
We introduce an advanced information extraction pipeline to automatically process very large collections of unstructured textual data for the purpose of investigative journalism. T…
Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing
Seid Muhie Yimam, Chris Biemann
In this paper, we present Par4Sem, a semantic writing aid tool based on adaptive paraphrasing. Unlike many annotation tools that are primarily used to collect training examples, Pa…