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

no code implementations • 26 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.

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.

FREME: Multilingual Semantic Enrichment with Linked Data and Language Technologies

no code implementations • LREC 2016 • Milan Dojchinovski, Felix Sasaki, Tatjana Gornostaja, Sebastian Hellmann, Erik Mannens, Frank Salliau, Michele Osella, Phil Ritchie, Giannis Stoitsis, Kevin Koidl, Markus Ackermann, Nilesh Chakraborty

In the recent years, Linked Data and Language Technology solutions gained popularity.

Translation

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

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

NIF4OGGD - NLP Interchange Format for Open German Governmental Data

no code implementations • LREC 2014 • Mohamed Sherif, S Coelho, ro, Ricardo Usbeck, Sebastian Hellmann, Jens Lehmann, Martin Br{\"u}mmer, Andreas Both

In the last couple of years the amount of structured open government data has increased significantly.

Decision Making

N\mbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format

no code implementations • LREC 2014 • Michael R{\"o}der, Ricardo Usbeck, Sebastian Hellmann, Daniel Gerber, Andreas Both

Extracting Linked Data following the Semantic Web principle from unstructured sources has become a key challenge for scientific research.

Coreference Resolution named-entity-recognition +2

The Open Linguistics Working Group

no code implementations • LREC 2012 • Christian Chiarcos, Sebastian Hellmann, Sebastian Nordhoff, Steven Moran, Richard Littauer, Judith Eckle-Kohler, Iryna Gurevych, Silvana Hartmann, Michael Matuschek, Christian M. Meyer

This paper describes the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN).