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Found 16 papers, 3 papers with code
Fine-Grained Named Entities for Corona News
Information resources such as newspapers have produced unstructured text data in various languages related to the corona outbreak since December 2019.
Retrieval-Augmented Generation-based Relation Extraction
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.
Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord
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.
ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting
We use content similarity and the proximity of nodes to create a new model for geolocation-content based communities.
EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture
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.
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models.
Variational Quanvolutional Neural Networks with enhanced image encoding
We furthermore examine the effect of variational - i. e. trainable - quantum circuits on the classification results.
TopicsRanksDC: Distance-based Topic Ranking applied on Two-Class Data
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.
AI supported Topic Modeling using KNIME-Workflows
The focus of this work is on the implementation of the knowledge-based topic modelling services in a KNIME workflow.
ROC: An Ontology for Country Responses towards COVID-19
The ROC ontology for country responses to COVID-19 provides a model for collecting, linking and sharing data on the COVID-19 pandemic.
QURATOR: Innovative Technologies for Content and Data Curation
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing.
Investigating the Effect of Attributes on User Trust in Social Media
This trust model is based on the dimensions of stability, quality, and credibility.
The Role of Pragmatics in Legal Norm Representation
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.
Rule reasoning for legal norm validation of FSTP facts
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
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.
An Inter-lingual Reference Approach For Multi-Lingual Ontology Matching
Ontologies are considered as the backbone of the Semantic Web.
