no code implementations • 6 Sep 2021 • Kaihao Guo, Tianpei Jiang, Haipeng Zhang
Event extraction is a classic task in natural language processing with wide use in handling large amount of yet rapidly growing financial, legal, medical, and government documents which often contain multiple events with their elements scattered and mixed across the documents, making the problem much more difficult.
no code implementations • 25 May 2021 • Shiwei Lyu, Shuai Ling, Kaihao Guo, Haipeng Zhang, Kunpeng Zhang, Suting Hong, Qing Ke, Jinjie Gu
Predicting the start-ups that will eventually succeed is essentially important for the venture capital business and worldwide policy makers, especially at an early stage such that rewards can possibly be exponential.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu
Numeral embeddings represented in this manner can be plugged into existing word embedding learning approaches such as skip-gram for training.
no code implementations • 28 Dec 2019 • Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, Kewei Tu
Numeral embeddings represented in this manner can be plugged into existing word embedding learning approaches such as skip-gram for training.