Max Lübbering
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View article: Utilizing Representation Learning for Robust Text Classification Under Datasetshift
Utilizing Representation Learning for Robust Text Classification Under Datasetshift Open
Within One-vs-Rest (OVR) classification, a classifier differentiates a single class of interest (COI) from the rest, i.e. any other class. By extending the scope of the rest class to corruptions (dataset shift), aspects of outlier detectio…
View article: Bounding open space risk with decoupling autoencoders in open set recognition
Bounding open space risk with decoupling autoencoders in open set recognition Open
One-vs-Rest (OVR) classification aims to distinguish a single class of interest (COI) from other classes. The concept of novelty detection and robustness to dataset shift becomes crucial in OVR when the scope of the rest class is extended …
View article: Anonymization of German financial documents using neural network-based language models with contextual word representations
Anonymization of German financial documents using neural network-based language models with contextual word representations Open
The automatization and digitalization of business processes have led to an increase in the need for efficient information extraction from business documents. However, financial and legal documents are often not utilized effectively by text…
View article: Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis
Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis Open
We present a comparative study on toxicity detection, focusing on the problem of identifying toxicity types of low prevalence and possibly even unobserved at training time. For this purpose, we train our models on a dataset that contains o…
View article: Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification Open
This article briefly explains our submitted approach to the DocEng'19 competition on extractive summarization. We implemented a recurrent neural network based model that learns to classify whether an article's sentence belongs to the corre…
View article: What company does my news article refer to? Tackling multiclass problems with topic modeling
What company does my news article refer to? Tackling multiclass problems with topic modeling Open
While it is technically trivial to search for the company name to predict the company a new article refers to, it often leads to incorrect results. In this article, we compare the two approaches bag-of-words with k-nearest neighbors and La…