• DOI:10.1145/2911451.2911535
Corpus ID: 207237647

Robust and Collective Entity Disambiguation through Semantic Embeddings

@article{Zwicklbauer2016RobustAC,
  title={Robust and Collective Entity Disambiguation through Semantic Embeddings},
  author={Stefan Zwicklbauer and C. Seifert and M. Granitzer},
  journal={Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval},
  year={2016}
}

Stefan Zwicklbauer, C. Seifert, M. Granitzer

Published 2016

Computer Science

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval

Entity disambiguation is the task of mapping ambiguous terms in natural-language text to its entities in a knowledge base. It finds its application in the extraction of structured data in RDF (Resource Description Framework) from textual documents, but equally so in facilitating artificial intelligence applications, such as Semantic Search, Reasoning and Question & Answering. We propose a new collective, graph-based disambiguation algorithm utilizing semantic entity and document embeddings for… CONTINUE READING

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