1 code implementation • 20 Apr 2024 • Sefika Efeoglu, Adrian Paschke
Information resources such as newspapers have produced unstructured text data in various languages related to the corona outbreak since December 2019.
1 code implementation • 20 Apr 2024 • Sefika Efeoglu, Adrian Paschke
To overcome these limitations, Retrieved-Augmented Generation-based Relation Extraction (RAG4RE) in this work is proposed, offering a pathway to enhance the performance of relation extraction tasks.
no code implementations • 4 Sep 2023 • Jan Fillies, Silvio Peikert, Adrian Paschke
This research addresses the bias of youth language within hate speech classification and contributes by providing a modern and anonymized hate speech youth language data set consisting of 88. 395 annotated chat messages.
no code implementations • 30 Jan 2023 • Elena-Simona Apostol, Ciprian-Octavian Truică, Adrian Paschke
We use content similarity and the proximity of nodes to create a new model for geolocation-content based communities.
no code implementations • 30 Jan 2023 • Alexandru Petrescu, Ciprian-Octavian Truică, Elena-Simona Apostol, Adrian Paschke
In this context, we propose a new ensemble architecture, EDSA-Ensemble (Event Detection Sentiment Analysis Ensemble), that uses Event Detection and Sentiment Analysis to improve the detection of the polarity for current events from Social Media.
no code implementations • 10 May 2022 • Julian Wörmann, Daniel Bogdoll, Christian Brunner, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Mert Keser, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Franz Motzkus, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Stefan Pilar von Pilchau, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rueden, Alexander Sagel, Diogo Sasdelli, Tobias Scholl, Gerhard Schunk, Gesina Schwalbe, Hao Shen, Youssef Shoeb, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models.
1 code implementation • 14 Jun 2021 • Denny Mattern, Darya Martyniuk, Henri Willems, Fabian Bergmann, Adrian Paschke
We furthermore examine the effect of variational - i. e. trainable - quantum circuits on the classification results.
no code implementations • 17 May 2021 • Malik Yousef, Jamal Al Qundus, Silvio Peikert, Adrian Paschke
In this paper, we introduce a novel approach named TopicsRanksDC for topics ranking based on the distance between two clusters that are generated by each topic.
no code implementations • 15 Apr 2021 • Jamal Al Qundus, Silvio Peikert, Adrian Paschke
The focus of this work is on the implementation of the knowledge-based topic modelling services in a KNIME workflow.
no code implementations • 15 Apr 2021 • Jamal Al Qundus, Ralph Schäfermeier, Naouel Karam, Silvio Peikert, Adrian Paschke
The ROC ontology for country responses to COVID-19 provides a model for collecting, linking and sharing data on the COVID-19 pandemic.
no code implementations • 25 Apr 2020 • Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing.
no code implementations • 16 Apr 2019 • Jamal Al Qundus, Adrian Paschke
This trust model is based on the dimensions of stability, quality, and credibility.
no code implementations • 8 Jul 2015 • Shashishekar Ramakrishna, Lukasz Gorski, Adrian Paschke
Despite the 'apparent clarity' of a given legal provision, its application may result in an outcome that does not exactly conform to the semantic level of a statute.
no code implementations • 5 Dec 2014 • Naouel Karam, Shashishekar Ramakrishna, Adrian Paschke
Non-obviousness or inventive step is a general requirement for patentability in most patent law systems.
no code implementations • 31 May 2014 • Shashishekar Ramakrishna, Adrian Paschke
In this paper we adapt the SBVR Structured English approach for the legal domain and implement a proof-of-concept, called KR4IPLaw, which enables legal domain experts to represent their knowledge in Structured English in a computational independent and hence, for them, more usable way.
no code implementations • 25 Sep 2013 • Haytham Al-Feel, Ralph Schafermeier, Adrian Paschke
Ontologies are considered as the backbone of the Semantic Web.