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04/10/2022
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data
Multimodal pre-training for audio-and-text has recently been proved to b...
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09/01/2021
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
Existing audio-language task-specific predictive approaches focus on bui...
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07/15/2021
Temporal-aware Language Representation Learning From Crowdsourced Labels
Learning effective language representations from crowdsourced labels is ...
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07/15/2021
Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension
Task requirements (TRs) writing is an important question type in Key Eng...
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07/15/2021
A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation
The quality of vocal delivery is one of the key indicators for evaluatin...
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07/15/2021
An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms
In this paper, we propose a simple yet effective solution to build pract...
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07/15/2021
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models
Sentence completion (SC) questions present a sentence with one or more b...
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07/15/2021
Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models
In this work, we study computational approaches to detect online dialogi...
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07/15/2021
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining
Many real-world applications involve the use of Optical Character Recogn...
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06/09/2021
Towards the Memorization Effect of Neural Networks in Adversarial Training
Recent studies suggest that “memorization” is one important factor for o...
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05/19/2021
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
Generating long and coherent text is an important but challenging task, ...
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05/19/2021
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
Automatic metrics are essential for developing natural language generati...
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10/24/2020
Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition
Speech emotion recognition is a challenging task because the emotion exp...
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10/13/2020
Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
There is an increasing interest in the use of automatic mathematical wor...
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09/23/2020
Representation Learning from Limited Educational Data with Crowdsourced Labels
Representation learning has been proven to play an important role in the...
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05/16/2020
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms
Asking questions is one of the most crucial pedagogical techniques used ...
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05/16/2020
Automatic Dialogic Instruction Detection for K-12 Online One-on-one Classes
Online one-on-one class is created for highly interactive and immersive ...
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05/15/2020
Siamese Neural Networks for Class Activity Detection
Classroom activity detection (CAD) aims at accurately recognizing speake...
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03/21/2020
Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach
With the rapid emergence of K-12 online learning platforms, a new era of...
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03/21/2020
NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels
Representation learning approaches require a massive amount of discrimin...
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10/22/2019
Multimodal Learning For Classroom Activity Detection
Classroom activity detection (CAD) focuses on accurately classifying whe...
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09/23/2019
Automatic Short Answer Grading via Multiway Attention Networks
Automatic short answer grading (ASAG), which autonomously score student ...
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09/01/2019
A Multimodal Alerting System for Online Class Quality Assurance
Online 1 on 1 class is created for more personalized learning experience...
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08/01/2019
Dolphin: A Verbal Fluency Evaluation System for Elementary Education
Verbal fluency is critically important for children growth and personal ...
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07/18/2019