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Found 7 papers, 1 papers with code
Approach to Predicting News -- A Precise Multi-LSTM Network With BERT
According to the V-Dem annual democracy report 2019, Taiwan is one of the two countries that got disseminated false information from foreign governments the most.
Headline Diagnosis: Manipulation of Content Farm Headlines
As technology grows faster, the news spreads through social media.
Learning Malware Representation based on Execution Sequences
The encoder comprises gated recurrent units (GRU) to preserve the ordinal position of API calls and a self-attention mechanism for comparing intra-relations among different positions of API calls.
From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences
In this study, students learn to differentiate the confusing words by reading the example sentences, and then choose the appropriate word(s) to complete the sentence translation task.
Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers
In recent years, the number of people studying English as a second language (ESL) has surpassed the number of native speakers.
Bringing personalized learning into computer-aided question generation
This paper proposes a novel and statistical method of ability estimation based on acquisition distribution for a personalized computer aided question generation.
Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes
In this work, we present a personalized computer aided question generation that generates multiple choice questions at various difficulty levels and types, including vocabulary, grammar and reading comprehension.
