SentiLecto - NLU engine
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Understanding natural language the way native speakers do
SentiLecto leans on outstanding linguistic features such as: passive/active voice transformation, negation scope, anaphora resolution and co-reference chains, ellipsis, modality treatment, semantic features (animity and others) and accurate verbal frames for all verbs, even with 'se-impersonal' usages ('se mostraron retratos' = 'alguien mostró retratos' = 'somebody showed portraits') and 'se-clitic' usages (for example, plain action 'mostrar' 'to show something' vs. 'mostrarSE' 'to show yourself, namely to feel some way before a situation').
It can recognize & classify named-entities (NERC) with identity matching. Also, SentiLecto can identify whether or not an utterance is a real fact (fact mining), normalizing facts through deep understanding of syntax and semantics.