Search Results for author: Sebastian Hellmann

Found 8 papers, 0 papers with code

DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus

no code implementations26 Dec 2018 Milan Dojchinovski, Julio Hernandez, Markus Ackermann, Amit Kirschenbaum, Sebastian Hellmann

The aim of the dataset is two-fold: to dramatically broaden and deepen the amount of structured information in DBpedia, and to provide large-scale and multilingual language resource for development of various NLP and IR task.

DBpedia Abstracts: A Large-Scale, Open, Multilingual NLP Training Corpus

no code implementations LREC 2016 Martin Br{\"u}mmer, Milan Dojchinovski, Sebastian Hellmann

The ever increasing importance of machine learning in Natural Language Processing is accompanied by an equally increasing need in large-scale training and evaluation corpora.

Entity Linking Multilingual NLP

The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud

no code implementations LREC 2016 John Philip McCrae, Christian Chiarcos, Francis Bond, Philipp Cimiano, Thierry Declerck, Gerard de Melo, Jorge Gracia, Sebastian Hellmann, Bettina Klimek, Steven Moran, Petya Osenova, Antonio Pareja-Lora, Jonathan Pool

The Open Linguistics Working Group (OWLG) brings together researchers from various fields of linguistics, natural language processing, and information technology to present and discuss principles, case studies, and best practices for representing, publishing and linking linguistic data collections.

Global Intelligent Content: Active Curation of Language Resources using Linked Data

no code implementations LREC 2014 David Lewis, Rob Brennan, Leroy Finn, Dominic Jones, Alan Meehan, Declan O{'}Sullivan, Sebastian Hellmann, Felix Sasaki

We refer to this as Active Curation of the language resources, since it is performed systematically over language processing workflows to continuously improve the quality of the resource in specific applications, rather than via dedicated curation steps.

Information Retrieval Machine Translation +1

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