Papers by Jinjian Yang

2 papers
Knowledge Graph Alignment with Entity-Pair Embedding (2020.emnlp-main)

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Challenge: Existing methods for Knowledge Graph (KG) alignment are not satisfactory.
Approach: They propose a method that directly learns embeddings of entity-pairs for KG alignment.
Outcome: The proposed approach can achieve state-of-the-art on five real-world datasets.
MAssistant: A Personal Knowledge Assistant for MOOC Learners (D19-3)

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Challenge: Massive Open Online Courses (MOOCs) have experienced a rapid development since 2012 . many MOOC platforms have been launched, including Coursera1 , edX2 , and Udacity3 etc.
Approach: They present a personal knowledge assistant system called MAssistant for MOOC learners . MAsistants has a large-scale concept graph built from open data . it also provides a browser extension which interacts with users during video lectures .
Outcome: The proposed system helps users trace the concepts they have learned in MOOCs, and to build their own concept graphs.

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