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Content Modeling for Automated Oral Proficiency Scoring System
We developed an automated oral proficiency scoring system for non-native English speakers{'} spontaneous speech.
Investigating neural architectures for short answer scoring
Neural approaches to automated essay scoring have recently shown state-of-the-art performance.
Predicting Audience's Laughter During Presentations Using Convolutional Neural Network
Public speakings play important roles in schools and work places and properly using humor contributes to effective presentations.
Predicting Audience's Laughter Using Convolutional Neural Network
For the purpose of automatically evaluating speakers' humor usage, we build a presentation corpus containing humorous utterances based on TED talks.
Can We Make Computers Laugh at Talks?
Considering the importance of public speech skills, a system which makes a prediction on where audiences laugh in a talk can be helpful to a person who prepares for a talk.
Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring
Developments in the educational landscape have spurred greater interest in the problem of automatically scoring short answer questions.
