RussNet as a Semantic Component of the Text Analyser for Russian
Irina Azarova, Vadim Ivanov, Ekaterina Ovchinnikova, Anna Sinopalnikova · 2006
In this paper we present a text analysis system developed on the basis of the AGFL grammar and RussNet – a wordnet-like lexicon for the Russian language. We describe a basic architecture of the system, in particular the characteristics of its semantic components – lexico-semantic, morpho-semantic, and syntactic-semantic ones. Principally, the effectiveness of the system benefits from the fact that its semantic modules are extended with syntactic-semantic descriptions – that of valency frames and predicate proposition formalism. The output structures may be used for various NLP tasks including text mining, fact extraction etc.