← Search

Xiya Cheng

2 accepted papers

2021

Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model

EMNLP 2021finding

The ability to generate natural-language questions with controlled complexity levels is highly desirable as it further expands the applicability of question generation. In this paper, we propose an end-to-end neural complexity-controllable question generation model, which incorporates a mixture of e…

Cited by 17SourcePDFScholar
2020

Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases

COLING 2020main

Question generation over knowledge bases (KBQG) aims at generating natural-language questions about a subgraph, i.e. a set of triples. Two main challenges still face the current crop of encoder-decoder-based methods, especially on small subgraphs: (1) low diversity and poor fluency due to the limite…