10 citations · 29 across the 12 of their papers we have counts for
14 papers
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert +3
Saliency maps can explain a neural model's predictions by identifying important input features. They are difficult to interpret for laypeople, especially for instances with many fe…
A Medical Information Extraction Workbench to Process German Clinical Text
Roland Roller, Laura Seiffe, Ammer Ayach +9
Background: In the information extraction and natural language processing domain, accessible datasets are crucial to reproduce and compare results. Publicly available implementatio…
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Lisa Raithel, Philippe Thomas, Roland Roller +3
In this work, we present the first corpus for German Adverse Drug Reaction (ADR) detection in patient-generated content. The data consists of 4,169 binary annotated documents from…
A Transfer Learning Based Model for Text Readability Assessment in German
Salar Mohtaj, Babak Naderi, Sebastian Möller +3
Text readability assessment has a wide range of applications for different target people, from language learners to people with disabilities. The fast pace of textual content produ…
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus, Ajay Madhavan Ravichandran, Sebastian Möller
The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. In this…
MuLVE, A Multi-Language Vocabulary Evaluation Data Set
Anik Jacobsen, Salar Mohtaj, Sebastian Möller
Vocabulary learning is vital to foreign language learning. Correct and adequate feedback is essential to successful and satisfying vocabulary training. However, many vocabulary and…
A Feature Extraction based Model for Hate Speech Identification
Salar Mohtaj, Vera Schmitt, Sebastian Möller
The detection of hate speech online has become an important task, as offensive language such as hurtful, obscene and insulting content can harm marginalized people or groups. This…
Does Summary Evaluation Survive Translation to Other Languages?
Spencer Braun, Oleg Vasilyev, Neslihan Iskender +1
The creation of a quality summarization dataset is an expensive, time-consuming effort, requiring the production and evaluation of summaries by both trained humans and machines. If…
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Nils Feldhus, Robert Schwarzenberg, Sebastian Möller
In the language domain, as in other domains, neural explainability takes an ever more important role, with feature attribution methods on the forefront. Many such methods require c…
Towards Human-Free Automatic Quality Evaluation of German Summarization
Neslihan Iskender, Oleg Vasilyev, Tim Polzehl +2
Evaluating large summarization corpora using humans has proven to be expensive from both the organizational and the financial perspective. Therefore, many automatic evaluation metr…
Efficient Explanations from Empirical Explainers
Robert Schwarzenberg, Nils Feldhus, Sebastian Möller
Amid a discussion about Green AI in which we see explainability neglected, we explore the possibility to efficiently approximate computationally expensive explainers. To this end,…
Effect of Language Proficiency on Subjective Evaluation of Noise Suppression Algorithms
Babak Naderi, Gabriel Mittag, Rafael Zequeira Jim\a'enez +1
Speech communication systems based on Voice-over-IP technology are frequently used by native as well as non-native speakers of a target language, e.g. in international phone calls…
Fine-grained linguistic evaluation for state-of-the-art Machine Translation
Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel +2
This paper describes a test suite submission providing detailed statistics of linguistic performance for the state-of-the-art German-English systems of the Fifth Conference of Mach…
Untrue.News: A New Search Engine For Fake Stories
Vinicius Woloszyn, Felipe Schaeffer, Beliza Boniatti +3
In this paper, we demonstrate Untrue News, a new search engine for fake stories. Untrue News is easy to use and offers useful features such as: a) a multi-language option combining…