#GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets

no code implementations • EMNLP (WNUT) 2020 • Hanna Varachkina, Stefan Ziehe, Tillmann Dönicke, Franziska Pannach

In this system paper, we present a transformer-based approach to the detection of informativeness in English tweets on the topic of the current COVID-19 pandemic.

Informativeness Task 2

Employing Wikipedia as a resource for Named Entity Recognition in Morphologically complex under-resourced languages

no code implementations • RANLP (BUCC) 2021 • Aravind Krishnan, Stefan Ziehe, Franziska Pannach, Caroline Sporleder

We propose a novel approach for rapid prototyping of named entity recognisers through the development of semi-automatically annotated datasets.

named-entity-recognition Named Entity Recognition +1

GCDH@LT-EDI-EACL2021: XLM-RoBERTa for Hope Speech Detection in English, Malayalam, and Tamil

no code implementations • EACL (LTEDI) 2021 • Stefan Ziehe, Franziska Pannach, Aravind Krishnan

This paper describes approaches to identify Hope Speech in short, informal texts in English, Malayalam and Tamil using different machine learning techniques.

BIG-bench Machine Learning Cross-Lingual Transfer +2

A Unified Approach to Discourse Relation Classification in nine Languages

no code implementations • EMNLP (DISRPT) 2021 • Hanna Varachkina, Franziska Pannach

The intricate prediction task aims to predict a large number of classes from the Rhetorical Structure Theory (RST) framework for nine target languages.

Classification Relation +3