GTM: A Generative Triple-Wise Model for Conversational Question
Generation

GTM: A Generative Triple-Wise Model for Conversational Question Generation

Annual Meeting of the Association for Computational Linguistics (ACL), 2021

7 June 2021

Jie Zhou

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Papers citing "GTM: A Generative Triple-Wise Model for Conversational Question Generation"

6 / 6 papers shown

Title
ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math QuestionsACM Symposium on Applied Computing (SAC), 2023 Phuoc Pham Van Long Duc Anh Vu Nhat M. Hoang Do Xuan Long Anh Tuan Luu LRM 263 20 0 04 Dec 2023
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Do Xuan Long Bowei Zou Shafiq Joty Anh Tai Tran Liangming Pan Nancy F. Chen Ai Ti Aw 150 8 0 04 May 2023
Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions Seonjeong Hwang Yunsu Kim G. G. Lee 124 3 0 24 Oct 2022
Question Generation for Reading Comprehension Assessment by Modeling How and What to AskFindings (Findings), 2022 Bilal Ghanem Lauren Lutz Coleman Julia Rivard Dexter Spencer McIntosh von der Ohe Alona Fyshe AI4Ed 166 35 0 06 Apr 2022
A Variational Hierarchical Model for Neural Cross-Lingual SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Yunlong Liang Fandong Meng Chulun Zhou Jinan Xu Jinan Xu Jinsong Su Jie Zhou BDL 221 36 0 08 Mar 2022
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 398 111 0 01 Jul 2021