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03/05/2022
Feeding What You Need by Understanding What You Learned
Machine Reading Comprehension (MRC) reveals the ability to understand a ...
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12/22/2021
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
Conversational recommendation system (CRS) is able to obtain fine-graine...
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11/20/2021
RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders
Considering a collection of RDF triples, the RDF-to-text generation task...
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11/20/2021
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph
Knowledge graph question answering (i.e., KGQA) based on information ret...
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09/24/2021
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation
Predicting the next interaction of a short-term sequence is a challengin...
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09/24/2021
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation
Social recommendation based on social network has achieved great success...
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07/08/2021
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Predicting the next interaction of a short-term interaction session is a...
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04/11/2021
Constructing Contrastive samples via Summarization for Text Classification with limited annotations
Contrastive Learning has emerged as a powerful representation learning m...
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10/24/2020
Deep Graph Matching and Searching for Semantic Code Retrieval
Code retrieval is to find the code snippet from a large corpus of source...
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07/08/2020
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning
While the celebrated graph neural networks yield effective representatio...
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10/05/2019
MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics
Automatic analysis of teacher and student interactions could be very imp...
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10/30/2018
Word Mover's Embedding: From Word2Vec to Document Embedding
While the celebrated Word2Vec technique yields semantically rich represe...
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09/14/2018
Random Warping Series: A Random Features Method for Time-Series Embedding
Time series data analytics has been a problem of substantial interests f...
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05/25/2018
Scalable Spectral Clustering Using Random Binning Features
Spectral clustering is one of the most effective clustering approaches t...
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02/14/2018