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

Sheng Bi | Xiya Cheng | Yuan-Fang Li | Lizhen Qu | Shirong Shen | Guilin Qi | Lu Pan | Yinlin Jiang |

Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text EMNLP Findings

Xiao-Yu Guo | Yuan-Fang Li | Gholamreza Haffari |

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages Findings

Tahmid Hasan | Abhik Bhattacharjee | Md. Saiful Islam | Kazi Mubasshir | Yuan-Fang Li | Yong-Bin Kang | M. Sohel Rahman | Rifat Shahriyar |

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection Findings

Shirong Shen | Tongtong Wu | Guilin Qi | Yuan-Fang Li | Gholamreza Haffari | Sheng Bi |

Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation AACL

Vishwajeet Kumar | Manish Joshi | Ganesh Ramakrishnan | Yuan-Fang Li |

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

Sheng Bi | Xiya Cheng | Yuan-Fang Li | Yongzhen Wang | Guilin Qi |

Understanding Unnatural Questions Improves Reasoning over Text COLING

Xiaoyu Guo | Yuan-Fang Li | Gholamreza Haffari |

Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP

Yuncheng Hua | Yuan-Fang Li | Gholamreza Haffari | Guilin Qi | Tongtong Wu |

ParaQG: A System for Generating Questions and Answers from Paragraphs EMNLP

vishwajeet kumar | Sivaanandh Muneeswaran | Ganesh Ramakrishnan | Yuan-Fang Li |

Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text CoNLL

Vishwajeet Kumar | Ganesh Ramakrishnan | Yuan-Fang Li |

Enriching An Academic knowledge base using Linked Open Data WS

Chetana Gavankar | Ashish Kulkarni | Yuan Fang Li | Ganesh Ramakrishnan |