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Found 3 papers, 2 papers with code
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
Complex knowledge base question answering can be achieved by converting questions into sequences of predefined actions.
Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data
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
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
