122 citations · 181 across the 12 of their papers we have counts for
5 papers · 1 filter
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…
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…
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism
Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann
Investigative journalism in recent years is confronted with two major challenges: 1) vast amounts of unstructured data originating from large text collections such as leaks or answ…
iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data
Andreas Niekler, Arnim Bleier, Christian Kahmann +5
The iLCM project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a "Software as a Service" architecture (SaaS)…