← Search

Yechun Tang

2 accepted papers

2022

Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment

EMNLP 2022main

Complex knowledge base question answering can be achieved by converting questions into sequences of predefined actions. However, there is a significant semantic and structural gap between natural language and action sequences, which makes this conversion difficult. In this paper, we introduce an ali…

2021

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

NAACL 2021long

Prerequisite relations among concepts are crucial for educational applications, such as curriculum planning and intelligent tutoring. In this paper, we propose a novel concept prerequisite relation learning approach, named CPRL, which combines both concept representation learned from a heterogeneous…