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Hits 1 – 3 of 3
1
Engineering an aligned gold-standard corpus of human to machine oriented Controlled Natural Language
Hazem Safwat
;
Brian Davis
;
Manel Zarrouk
. - : IEEE, 2019
Abstract:
Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps in easing the knowledge acquisition gap, the ambiguous nature of language tends to impact accuracy when engaging in more complex semantic analysis. Controlled Natural Languages (CNLs) are subsets of natural language that are restricted grammatically in order to reduce or eliminate ambiguity for the purposes of machine processability, or unambiguous human communication within a domain or industry context, such as Simplified English. This type of human-oriented CNL is under-researched despite having found favor within industry over many years. We describe a novel dataset which aligns a representative sample of Simplified English Wikipedia sentences with a well known machine-oriented CNL. This linguistic resource is both human-readable and semantically machine interpretable and can benefit a variety of NLP and knowledge based applications. ; This work has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289 and in part by the SSIX Horizon 2020 project (grant agreement No 645425). ; peer-reviewed
Keyword:
Controlled Natural Language
;
Knowledge Extraction
;
Natural Language Processing
;
Semantic Web
URL:
https://doi.org/10.1109/WI.2018.00-58
http://hdl.handle.net/10379/14953
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2
Inferring Knowledge with Word Refinements in a Crowdsourced Lexical-Semantic Network
Manel Zarrouk
In: http://www.lirmm.fr/%7Elafourca/ML-biblio/COLING2014/COLING2014.pdf
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3
Inductive and deductive inferences in a Crowdsourced Lexical-Semantic Network
Manel Zarrouk
;
Alain Joubert
In: http://www.lirmm.fr/~lafourcade/ML-biblio/RANLP2014/RANLP_2014_MZMLAJ.pdf
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