Search Results for author: Yechun Tang

Found 3 papers, 2 papers with code

Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data

no code implementations NAACL 2021 Chenghao Jia, Yongliang Shen, Yechun Tang, Lu Sun, Weiming Lu

Prerequisite relations among concepts are crucial for educational applications, such as curriculum planning and intelligent tutoring.


A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction

1 code implementation25 Jan 2021 Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu

Joint entity and relation extraction framework constructs a unified model to perform entity recognition and relation extraction simultaneously, which can exploit the dependency between the two tasks to mitigate the error propagation problem suffered by the pipeline model.

 Ranked #1 on Relation Extraction on CoNLL04 (NER Micro F1 metric)

Joint Entity and Relation Extraction Reading Comprehension +2

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