most citedLearning Multi-level Dependencies for Robust Word Recognition

1 citations · 3 across the 5 of their papers we have counts for

collaborators

10 papers

cs.LG2020

Representation Learning from Limited Educational Data with Crowdsourced Labels

Wentao Wang, Guowei Xu, Wenbiao Ding +4

Representation learning has been proven to play an important role in the unprecedented success of machine learning models in numerous tasks, such as machine translation, face recog…

cs.CL20201 cited

Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms

Gale Yan Huang, Jiahao Chen, Haochen Liu +6

Asking questions is one of the most crucial pedagogical techniques used by teachers in class. It not only offers open-ended discussions between teachers and students to exchange id…

cs.CL20191 cited

Learning Multi-level Dependencies for Robust Word Recognition

Zhiwei Wang, Hui Liu, Jiliang Tang +3

Robust language processing systems are becoming increasingly important given the recent awareness of dangerous situations where brittle machine learning models can be easily broken…

eess.AS20191 cited

Multimodal Learning For Classroom Activity Detection

Hang Li, Yu Kang, Wenbiao Ding +4

Classroom activity detection (CAD) focuses on accurately classifying whether the teacher or student is speaking and recording both the length of individual utterances during a clas…

cs.AI2019

Automatic Short Answer Grading via Multiway Attention Networks

Tiaoqiao Liu, Wenbiao Ding, Zhiwei Wang +3

Automatic short answer grading (ASAG), which autonomously score student answers according to reference answers, provides a cost-effective and consistent approach to teaching profes…

cs.HC2019

A Multimodal Alerting System for Online Class Quality Assurance

Jiahao Chen, Hang Li, Wenxin Wang +3

Online 1 on 1 class is created for more personalized learning experience. It demands a large number of teaching resources, which are scarce in China. To alleviate this problem, we…