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CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Data augmentation has been demonstrated as an effective strategy for imp...
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Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
While neural sequence learning methods have made significant progress in...
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A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
Adversarial training has been shown effective at endowing the learned re...
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GIKT: A Graph-based Interaction Model for Knowledge Tracing
With the rapid development in online education, knowledge tracing (KT) h...
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An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation
This paper studies graph-based recommendation, where an interaction grap...
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Dynamically Fused Graph Network for Multi-hop Reasoning
Text-based question answering (TBQA) has been studied extensively in rec...
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TGE-PS: Text-driven Graph Embedding with Pairs Sampling
In graphs with rich text information, constructing expressive graph repr...
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Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
User response prediction is a crucial component for personalized informa...
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Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
We study the problem of named entity recognition (NER) from electronic m...
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QA4IE: A Question Answering based Framework for Information Extraction
Information Extraction (IE) refers to automatically extracting structure...
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Collaborative Filtering with Graph-based Implicit Feedback
Introducing consumed items as users' implicit feedback in matrix factori...
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Wasserstein Distance Guided Representation Learning for Domain Adaptation
Domain adaptation aims at generalizing a high-performance learner on a t...
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