activity
20192021
most citedData Augmentation for Low-Resource Named Entity Recognition Using Backtranslation

10 citations · 11 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL202110 cited

Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation

Usama Yaseen, Stefan Langer

The state of art natural language processing systems relies on sizable training datasets to achieve high performance. Lack of such datasets in the specialized low resource domains…

cs.CL20211 cited

Neural Text Classification and Stacked Heterogeneous Embeddings for Named Entity Recognition in SMM4H 2021

Usama Yaseen, Stefan Langer

This paper presents our findings from participating in the SMM4H Shared Task 2021. We addressed Named Entity Recognition (NER) and Text Classification. To address NER we explored B…

cs.HC2020

Combining Gesture and Voice Control for Mid-Air Manipulation of CAD Models in VR Environments

Markus Friedrich, Stefan Langer, Fabian Frey

Modeling 3D objects in domains like Computer Aided Design (CAD) is time-consuming and comes with a steep learning curve needed to master the design process as well as tool complexi…

cs.HC2020

Content-based Recommendations for Radio Stations with Deep Learned Audio Fingerprints

Stefan Langer, Liza Obermeier, André Ebert +3

The world of linear radio broadcasting is characterized by a wide variety of stations and played content. That is why finding stations playing the preferred content is a tough task…

cs.CV2019

Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks

Stefan Langer, Robert Müller, Kyrill Schmid +1

The difficulty of mountainbike downhill trails is a subjective perception. However, sports-associations and mountainbike park operators attempt to group trails into different level…

cs.LG2019

Soccer Team Vectors

Robert Müller, Stefan Langer, Fabian Ritz +3

In this work we present STEVE - Soccer TEam VEctors, a principled approach for learning real valued vectors for soccer teams where similar teams are close to each other in the resu…