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A model that can predict the likelihood of a fake tweet which might have been written by a machine in a given set of tweets while also validating the same on news articles scraped from the internet - Understanding-Machine-vs-Human-Generated-Text-in-News/
Analysis of fine-tuned models indicates the preference of multi-task learning over single task learning resulting in a higher weighted F1 score on all three languages. We apply two multi-task learning approaches to three Dravidian languages, Kannada, Malayalam, and Tamil. Maximum scores on Kannada...
False Alarms = area of observed persistence predicted as change (incorrect) [17]. We calculated for all the 114 model runs the FOM and its components: Misses, Hits, Wrong Hits, and False Alarms. These metrics were calculated in R software [38] with the ‘lulcc’ package [39]. 2.6. St...