Search Results for author: Adrian Paschke

Found 18 papers, 3 papers with code

Quantum Architecture Search: A Survey

no code implementations10 Jun 2024 Darya Martyniuk, Johannes Jung, Adrian Paschke

Quantum computing has made significant progress in recent years, attracting immense interest not only in research laboratories but also in various industries.

Retrieval-Augmented Generation-based Relation Extraction

1 code implementation20 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.

Relation Relation Extraction +1

Fine-Grained Named Entities for Corona News

1 code implementation20 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.

named-entity-recognition Named Entity Recognition +1

Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord

no code implementations4 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.

EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture

no code implementations30 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.

Event Detection Sentiment Analysis +1

TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data

no code implementations17 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.

Vocal Bursts Valence Prediction

ROC: An Ontology for Country Responses towards COVID-19

no code implementations15 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.

AI supported Topic Modeling using KNIME-Workflows

no code implementations15 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.

Text Summarization Topic Models

Investigating the Effect of Attributes on User Trust in Social Media

no code implementations16 Apr 2019 Jamal Al Qundus, Adrian Paschke

This trust model is based on the dimensions of stability, quality, and credibility.


The Role of Pragmatics in Legal Norm Representation

no code implementations8 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.

Decision Making

Rule reasoning for legal norm validation of FSTP facts

no code implementations5 Dec 2014 Naouel Karam, Shashishekar Ramakrishna, Adrian Paschke

Non-obviousness or inventive step is a general requirement for patentability in most patent law systems.

Bridging the gap between Legal Practitioners and Knowledge Engineers using semi-formal KR

no code implementations31 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.

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