TEXT COHERENCE CLASSIFIER

Text coherence is classified by receiving a multiword text string into a machine learning model, determining, by the machine learning model, semantic probability data representing a probability that a word of the received multiword text string is semantically correlated to one or more other words in...

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Bibliographische Detailangaben
Hauptverfasser: ASI, Abedelkader, EISENSTADT, Roy, RONEN, Royi, GECKT, Dean
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Text coherence is classified by receiving a multiword text string into a machine learning model, determining, by the machine learning model, semantic probability data representing a probability that a word of the received multiword text string is semantically correlated to one or more other words in the multiword text string, determining, by the machine learning model, an inferential aggregate perplexity score of the multiword text string, based on the determined semantic probability data, outputting, from the machine learning model, the inferential aggregate perplexity score, and classifying a coherence of the multiword text string based on whether the outputted inferential aggregate perplexity score satisfies a coherence condition, wherein the coherence condition is based on a predefined coherence score.