Arthur Müller

Arthur Müller
  • Master of Science
  • Research Associate in Applied & Operational NLP at University of the Bundeswehr Munich

About

5
Publications
396
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24
Citations
Introduction
Special research focus is set on Natural Language Processing methods in the area of Conversation AI in conjunction with Multi-Agent Systems in complex networks scenarios.
Current institution
University of the Bundeswehr Munich
Current position
  • Research Associate in Applied & Operational NLP

Publications

Publications (5)
Conference Paper
Full-text available
We participated in the Shared Task 1 at CASE 2021, Subtask 4 on protest event extraction from news articles (Hürriyetoglu et al., 2022) and examined different techniques aimed at improving the performance of the winning system from the last competition round (Hürriyetoglu et al., 2021). We evaluated in-domain pre-training, task-specific pre-fine-tu...
Chapter
Real-time large-scale data streams provided by Twitter create new possibilities for political scientists to nowcast political events. We developed a pipeline to process, analyze and aggregate data for presentation on a web application. During the 2021 German federal election campaign, expressed stances on competing political parties and their front...
Article
Full-text available
Hate speech expresses prejudice and discrimination based on actual or perceived innate characteristics such as gender, race, religion, ethnicity, colour, national origin, disability or sexual orientation. Research has proven that the amount of hateful messages increases inevitably on online social media. Although hate propagators constitute a tiny...
Chapter
Full-text available
Hate speech expresses prejudice and discrimination based on personal characteristics such as race or gender. Research has proven that the amount of hateful messages increases on online social media. If not countered properly, the spread of hatred can overwhelm entire societies. This paper proposes a multi-agent model of the spread of hatred. We reu...
Conference Paper
Full-text available
Auto-versioning file systems offer a simple and reliable interface to document change control. The implicit versioning of documents at each write access catches the whole evolution of a document, thus supporting regulatory compliance rules. Most existing file systems work on low abstraction levels and track the document evolution on their binary re...

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