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UPRec: User-Aware Pre-training for Recommender Systems
Existing sequential recommendation methods rely on large amounts of trai...
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Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network
Recently, real-world recommendation systems need to deal with millions o...
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Denoising Relation Extraction from Document-level Distant Supervision
Distant supervision (DS) has been widely used to generate auto-labeled d...
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Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Recommender systems aim to provide item recommendations for users, and a...
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Connecting Embeddings for Knowledge Graph Entity Typing
Knowledge graph (KG) entity typing aims at inferring possible missing en...
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FAQ-based Question Answering via Knowledge Anchors
Question answering (QA) aims to understand user questions and find appro...
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Neural Snowball for Few-Shot Relation Learning
Knowledge graphs typically undergo open-ended growth of new relations. T...
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Knowledge Representation Learning: A Quantitative Review
Knowledge representation learning (KRL) aims to represent entities and r...
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Language Modeling with Sparse Product of Sememe Experts
Most language modeling methods rely on large-scale data to statistically...
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Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Sememes are minimum semantic units of concepts in human languages, such ...
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Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence
Knowledge graphs (KGs) can provide significant relational information an...
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Neural Emoji Recommendation in Dialogue Systems
Emoji is an essential component in dialogues which has been broadly util...
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Image-embodied Knowledge Representation Learning
Entity images could provide significant visual information for knowledge...
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