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To collect a listing of people names, i merged the fresh new number of Wordnet terminology beneath the lexical domain name regarding noun

To spot the new characters said regarding the fantasy report, i first built a databases regarding nouns speaking about the three types of actors noticed by the Hall–Van de Palace system: anyone, pet and you will fictional characters.

person with the words that are subclass of or instance of the item Person in Wikidata. Similarly, for animal names, we merged all the words under the noun.animal lexical domain of Wordnet with the words that are subclass of or instance of the item Animal in Wikidata. To identify fictional characters, we considered the words that are subclass of or instance of the Wikidata items Fictional Human, blackchristianpeoplemeet ekЕџi Mythical Creature and Fictional Creature. As a result, we obtained three disjoint sets containing nouns describing people NIndividuals (25 850 words), animals NDogs (1521 words) and fictional characters NFictional (515 words). These three sets contain both common nouns (e.g. fox, waiter) and proper nouns (e.g. Jack, Gandalf). Deceased and fictional characters are grouped into a set of Imaginary characters (CImaginary).

Having those three sets, the tool is able to extract characters from the dream report. It does so by intersecting these three sets with the set of all the proper and common nouns contained in the report (NFantasy).