Learning to Automatically Generate Fill-In-The-Blank Quizzes

06/12/2018

∙

In this paper we formalize the problem automatic fill-in-the-blank question generation using two standard NLP machine learning schemes, proposing concrete deep learning models for each. We present an empirical study based on data obtained from a language learning platform showing that both of our proposed settings offer promising results.

READ FULL TEXT

Learning to Automatically Generate Fill-In-The-Blank Quizzes

Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks

Tokenization Tractability for Human and Machine Learning Model: An Annotation Study

Data Augmentation for Dementia Detection in Spoken Language

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications

Deep learning models for representing out-of-vocabulary words

Deep k-NN for Noisy Labels

How Could Polyhedral Theory Harness Deep Learning?

Learning to Automatically Generate Fill-In-The-Blank Quizzes

Related Research

Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks

Tokenization Tractability for Human and Machine Learning Model: An Annotation Study

Data Augmentation for Dementia Detection in Spoken Language

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications

Deep learning models for representing out-of-vocabulary words

Deep k-NN for Noisy Labels

How Could Polyhedral Theory Harness Deep Learning?