Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series | Zendy

Giuseppe Rizzo | Zendy; Bianca Pereira | Zendy; Andrea Varga | Zendy; Marieke van Erp | Zendy; Amparo Elizabeth Cano Basave | Zendy

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Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series

Author(s) -

Giuseppe Rizzo,

Bianca Pereira,

Andrea Varga,

Marieke van Erp,

Amparo Elizabeth Cano Basave

Publication year - 2017

Publication title -

semantic web

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.862

H-Index - 45

eISSN - 2210-4968

pISSN - 1570-0844

DOI - 10.3233/sw-170276

Subject(s) - computer science , field (mathematics) , domain (mathematical analysis) , impossibility , benchmark (surveying) , data science , semantics (computer science) , globe , artificial intelligence , named entity recognition , information extraction , open domain , natural language processing , information retrieval , machine learning , question answering , engineering , medicine , mathematical analysis , task (project management) , mathematics , geodesy , systems engineering , political science , pure mathematics , law , ophthalmology , programming language , geography

This work was supported by the H2020 FREME project (GA no. 644771), by the research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289, and by the CLARIAH-CORE project financed by the Netherlands Organisation for Scientific Research (NWO).

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