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09/20/2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
With the acceleration of urbanization, traffic forecasting has become an...
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09/18/2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
In the era of information explosion, spatio-temporal data mining serves ...
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02/14/2023
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Knowledge tracing (KT) is the problem of predicting students' future per...
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02/14/2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Knowledge tracing (KT) is a crucial technique to predict students' futur...
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02/14/2023
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Knowledge tracing (KT) is the problem of predicting students' future per...
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10/17/2022
Probabilistic Categorical Adversarial Attack Adversarial Training
The existence of adversarial examples brings huge concern for people to ...
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07/13/2022
Wide Deep Learning for Judging Student Performance in Online One-on-one Math Classes
In this paper, we investigate the opportunities of automating the judgme...
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06/24/2022
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners
Sentence completion (SC) questions present a sentence with one or more b...
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06/24/2022
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
Online dialogic instructions are a set of pedagogical instructions used ...
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06/23/2022
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
We propose a simple but effective method to recommend exercises with hig...
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06/23/2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
Knowledge tracing (KT) is the task of using students' historical learnin...
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01/27/2022
A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment
In Vitro Fertilization (IVF) is the most widely used Assisted Reproducti...
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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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05/06/2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
It is evident that deep text classification models trained on human data...
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12/18/2020
AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text
Adversarial examples are vital to expose the vulnerability of machine le...
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11/19/2020
Node Similarity Preserving Graph Convolutional Networks
Graph Neural Networks (GNNs) have achieved tremendous success in various...
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10/31/2020
Personalized Multimodal Feedback Generation in Education
The automatic evaluation for school assignments is an important applicat...
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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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09/28/2020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
Dialogue systems play an increasingly important role in various aspects ...
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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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09/21/2020
Contrastive Clustering
In this paper, we propose a one-stage online clustering method called Co...
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06/17/2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
The success of deep learning notoriously requires larger amounts of cost...
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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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05/08/2020
Synchronous Bidirectional Learning for Multilingual Lip Reading
Lip reading has received increasing attention in recent years. This pape...
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04/21/2020
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Most existing approaches for goal-oriented dialogue policy learning used...
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03/30/2020
Human Motion Transfer with 3D Constraints and Detail Enhancement
We propose a new method for realistic human motion transfer using a gene...
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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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12/27/2019
Graduate Employment Prediction with Bias
The failure of landing a job for college students could cause serious so...
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11/22/2019
Learning Multi-level Dependencies for Robust Word Recognition
Robust language processing systems are becoming increasingly important g...
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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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10/16/2019
Does Gender Matter? Towards Fairness in Dialogue Systems
Recently there are increasing concerns about the fairness of Artificial ...
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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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09/13/2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models
Neural dialogue models have been widely adopted in various chatbot appli...
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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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09/01/2019
Deep Knowledge Tracing with Side Information
Monitoring student knowledge states or skill acquisition levels known as...
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08/20/2019