Search Results for author: Armando Ospedale

Found 2 papers, 1 papers with code

Intent Classification in Question-Answering Using LSTM Architectures

1 code implementation25 Jan 2020 Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri

Question-answering (QA) is certainly the best known and probably also one of the most complex problem within Natural Language Processing (NLP) and artificial intelligence (AI).

Classification General Classification +3

An Analysis of Word2Vec for the Italian Language

no code implementations25 Jan 2020 Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri, Gianfranco Fedele

Word representation is fundamental in NLP tasks, because it is precisely from the coding of semantic closeness between words that it is possible to think of teaching a machine to understand text.

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