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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search 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 BASE Show details 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 BASE Show details 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 Abstract: In Computational Linguistics, building lexical-semantic networks and validat-ing contained relations are paramount issues as well as adding some reasoning skills in order to enrich these knowledge bases. In this paper we devise an in-ference engine which aims at producing new "potential " relations from already existing ones in the JeuxDeMots network. This network is constructed with the help of a GWAP (game with a purpose) thanks to thousands of players. It handles terms and weighted relations between these terms, and currently contains over 2 mil-lion relation occurences. Polysemous terms may be refined in several senses (bank may be a bank>financial institu-tion or a bank>river) but as the net-work is indefinitely under construction (in the context of a Never Ending Learn-ing approach) some senses may be miss-ing at a given time. The approach we proposed here is founded on the tri-angulation method through two kinds of inference schemes: deduction (top-down from generic to specific terms) and induction (bottom-up from specific to generic terms). A blocking mechanism, whose purpose is to avoid proposing highly dubious new relations, is based on logical and statistical constraints. Auto-matically inferred relations are then pro-posed to human contributors to be vali-dated. In case of invalidation, a reconcili-ation dialog is undertaken to identify the cause of the wrong inference: an excep-tion, an error in the premises or a previ-ously undetected confusion due to pol-ysemy on the central term common to both premises. 1 URL: http://www.lirmm.fr/~lafourcade/ML-biblio/RANLP2014/RANLP_2014_MZMLAJ.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.6035 BASE Hide details

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