FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang. FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 8133-8149, Association for Computational Linguistics, 2022. [doi]

This author has not been identified. Look up 'Yijia Shao' in GoogleThis author has not been identified. Look up 'Mengyu Zhou' in GoogleThis author has not been identified. Look up 'Yifan Zhong' in GoogleThis author has not been identified. Look up 'Tao Wu' in GoogleThis author has not been identified. Look up 'Hongwei Han' in GoogleThis author has not been identified. Look up 'Shi Han' in GoogleThis author has not been identified. Look up 'Gideon Huang' in GoogleThis author has not been identified. Look up 'Dongmei Zhang' in Google

runs on WebDSL