Dataset Description: Summarized Wiki Articles with TTL Knowledge Graphs Overview This dataset comprises 500 summarized Wikipedia articles, each accompanied by a corresponding TTL knowledge graph. All articles and their associated knowledge graphs are consolidated into a single CSV file named wiki.csv, where each row represents one article. Dataset Files wiki.csv: CSV file containing all 500 summarized articles and their corresponding TTL knowledge graphs. all_ttl.txt: txt file containing all 500 knowledge graphs. Example Usage You can utilize this dataset for various natural language processing tasks, such as text summarization, knowledge graph construction, and information retrieval.
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NLPContributionGraph was introduced as Task 11 at SemEval 2021 for the first time. The task is defined on a dataset of Natural Language Processing (NLP) scholarly articles with their contributions structured to be integrable within Knowledge Graph infrastructures such as the Open Research Knowledge Graph.
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…Knowledge graphs (KG) provide a visual representation in a graph that can reason and interpret from the underlying data, making them suitable for use in education and interactive learning. Creating knowledge graphs from unstructured text is challenging without an ontology or annotated dataset. However, data annotation for cybersecurity needs domain experts. This dataset can be used to construct knowledge graphs to teach cybersecurity and promote cognitive learning.
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…We introduce the new task of multimodal analogical reasoning over knowledge graphs, which requires multimodal reasoning ability with the help of background knowledge.
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TextWorld KG is a dynamic Knowledge Graph (KG) extraction dataset. It is based on a set of text-based games generated using.